Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
16/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
There's never been a more exciting time to be part of the nuclear sector. New opportunities are being created all the time. At our Client, you'll be in the ideal place to capitalise on this momentum, face new challenges and develop a long, successful and meaningful career. Our Client is an organisation that's here to experiment and push the limits of what's possible. So, if you're keen to excel in your chosen field, this is the place to do it. The Safety Case Manager (SCM) is a facility-specific, nuclear baseline role to support the Safety Case Delivery Lead to ensure the company's continued compliance with all safety case-related Site Licence Conditions (principally LC14, 15, 23, 27). The SCM is responsible for the development, implementation, maintenance and review of the safety case as well as managing integration of emergent project pipeline demands. The role is required to ensure that the safety case is delivered in a clear and user-friendly way all stakeholders. The SCM is a lead role and must be able to perform duties with minimal management direction. RESPONSIBILITIES Main responsibilities: Lead implementation of governance arrangements to ensure appropriate legislative, regulatory, environmental, safety and quality requirements are complied with across their area of responsibility. Develop, implement and maintain a clear strategy for the ongoing management of the safety case in line with the relevant process arrangements. Act as the customer (on behalf of the SCO) regarding safety case requirements. They shall be the primary point of contact for facility safety case issues. Sponsor documentation through the safety committee (PMP, MSC). Ensure the safety case is clear, fit for purpose, pragmatic and user friendly. Provide high quality safety case advice to all stakeholders. Identify and drive improvement initiatives on safety case understanding and implementation in the workplace. Look for, use and share learning from internal and external sources and from events and good practice. Drive the training and development of safety case team members in line with the safety case workbook, career Pathway and business requirements. Maintain up to date detailed knowledge of relevant legislative, regulatory and company policy, standards and procedures. Maintain a working knowledge of applicable regulations, processes and industry good practice, through attendance at relevant forums within the wider safety case community and benchmarking with other organisations. They shall be responsible for managing implementation of these back in the workplace. EXPERIENCE ESSENTIAL Experienced in working in a regulated industry, detail orientated, and able to work to stringent deadlines. Compliance professional, educated to Degree level (or equivalent), with extensive demonstrable practical & relevant experience in a safety case management role. Must demonstrate an ability to analyse and interpret complex information from several, sometimes conflicting or novel sources, with a proven problem-solving ability in order to make decisions based upon this information. Highly motivated with the ability to communicate concepts to diverse audiences with varying skills. Experience of remaining calm under stressful circumstances. Evidence of self-motivation with demonstrable levels of drive, energy and resilience. Ability to communicate key information both verbal and written with a range of stakeholders. Ability to influence, communicate and work collaboratively with a range of stakeholders across a team and business area. Good analytical thinking skills, with experience of solving novel and possibly challenging technical issues. Good understanding of ALARP principles. Good planning skills. Computer literate with MS Office suite. Ability to obtain DV level security clearance (this includes but is not limited to identity, employment, financial, criminal record checks, interview plus 10 years of UK residency). DESIRABLE Fully conversant with SLP 2.17 suite. SCM workbook completed. A thorough awareness of nuclear and conventional safety and security requirements applicable to their area(s) of responsibility.
16/05/2024
Full time
There's never been a more exciting time to be part of the nuclear sector. New opportunities are being created all the time. At our Client, you'll be in the ideal place to capitalise on this momentum, face new challenges and develop a long, successful and meaningful career. Our Client is an organisation that's here to experiment and push the limits of what's possible. So, if you're keen to excel in your chosen field, this is the place to do it. The Safety Case Manager (SCM) is a facility-specific, nuclear baseline role to support the Safety Case Delivery Lead to ensure the company's continued compliance with all safety case-related Site Licence Conditions (principally LC14, 15, 23, 27). The SCM is responsible for the development, implementation, maintenance and review of the safety case as well as managing integration of emergent project pipeline demands. The role is required to ensure that the safety case is delivered in a clear and user-friendly way all stakeholders. The SCM is a lead role and must be able to perform duties with minimal management direction. RESPONSIBILITIES Main responsibilities: Lead implementation of governance arrangements to ensure appropriate legislative, regulatory, environmental, safety and quality requirements are complied with across their area of responsibility. Develop, implement and maintain a clear strategy for the ongoing management of the safety case in line with the relevant process arrangements. Act as the customer (on behalf of the SCO) regarding safety case requirements. They shall be the primary point of contact for facility safety case issues. Sponsor documentation through the safety committee (PMP, MSC). Ensure the safety case is clear, fit for purpose, pragmatic and user friendly. Provide high quality safety case advice to all stakeholders. Identify and drive improvement initiatives on safety case understanding and implementation in the workplace. Look for, use and share learning from internal and external sources and from events and good practice. Drive the training and development of safety case team members in line with the safety case workbook, career Pathway and business requirements. Maintain up to date detailed knowledge of relevant legislative, regulatory and company policy, standards and procedures. Maintain a working knowledge of applicable regulations, processes and industry good practice, through attendance at relevant forums within the wider safety case community and benchmarking with other organisations. They shall be responsible for managing implementation of these back in the workplace. EXPERIENCE ESSENTIAL Experienced in working in a regulated industry, detail orientated, and able to work to stringent deadlines. Compliance professional, educated to Degree level (or equivalent), with extensive demonstrable practical & relevant experience in a safety case management role. Must demonstrate an ability to analyse and interpret complex information from several, sometimes conflicting or novel sources, with a proven problem-solving ability in order to make decisions based upon this information. Highly motivated with the ability to communicate concepts to diverse audiences with varying skills. Experience of remaining calm under stressful circumstances. Evidence of self-motivation with demonstrable levels of drive, energy and resilience. Ability to communicate key information both verbal and written with a range of stakeholders. Ability to influence, communicate and work collaboratively with a range of stakeholders across a team and business area. Good analytical thinking skills, with experience of solving novel and possibly challenging technical issues. Good understanding of ALARP principles. Good planning skills. Computer literate with MS Office suite. Ability to obtain DV level security clearance (this includes but is not limited to identity, employment, financial, criminal record checks, interview plus 10 years of UK residency). DESIRABLE Fully conversant with SLP 2.17 suite. SCM workbook completed. A thorough awareness of nuclear and conventional safety and security requirements applicable to their area(s) of responsibility.
We are recruiting for an Aircraft Stress Engineer on contract to work in our clients offices in Bristol 3 days per week and remote 2 days per week (Hybrid) Working as part of an expert multiskilled team you will be responsible for static strength analysis and justification of metallic and composite structures. Your primary role will be to work closely with design and F&DT (Fatigue and Damage Tolerance) engineers to assess and validate repairs to damaged aircraft structures. You will ensure adherence to airworthiness regulations, relevant design principles, processes, methods and manufacturing capabilities guidelines. We are a dynamic multifunctional team delivering structural repairs and repair processes to support the fleet. We work closely together to provide complex repairs in support of planned major repair activities, Major Test programmes and fleet issues. We enjoy the challenge of creating and delivering repairs for any sort of damage, anywhere on the wing! What you will be doing Using approved methods and tools to perform structural static strength analysis of repairs. Creating and compiling justification reports and associated engineering documentation. Working closely with skilled designers to develop optimum repairs. About You You are a skilled aerospace structural analysis engineer, with experience of how airframe repairs are developed and justified. You enjoy working as part of a team to develop effective solutions to complex technical problems and ensure efficient delivery of tasks. Essential Skills Aerospace Engineering degree (or equivalent) and relevant engineering experience. Experience of static analysis of aircraft structures using a range of hand and computer methods. An understanding of the fundamental methods of static stress analysis and an ability to develop these methods. Knowledge and experience of using static strength analysis tools and methods (including ISAMI and Mathcad). Experience of compiling static strength justification reports to standards and ways of working. Good interpersonal and communication skills (both written and verbal). Preferred Skills Be conversant with technical requirements for repair design. Be comfortable working with and manipulating large datasets. Delegated signature for structural analy
15/05/2024
Project-based
We are recruiting for an Aircraft Stress Engineer on contract to work in our clients offices in Bristol 3 days per week and remote 2 days per week (Hybrid) Working as part of an expert multiskilled team you will be responsible for static strength analysis and justification of metallic and composite structures. Your primary role will be to work closely with design and F&DT (Fatigue and Damage Tolerance) engineers to assess and validate repairs to damaged aircraft structures. You will ensure adherence to airworthiness regulations, relevant design principles, processes, methods and manufacturing capabilities guidelines. We are a dynamic multifunctional team delivering structural repairs and repair processes to support the fleet. We work closely together to provide complex repairs in support of planned major repair activities, Major Test programmes and fleet issues. We enjoy the challenge of creating and delivering repairs for any sort of damage, anywhere on the wing! What you will be doing Using approved methods and tools to perform structural static strength analysis of repairs. Creating and compiling justification reports and associated engineering documentation. Working closely with skilled designers to develop optimum repairs. About You You are a skilled aerospace structural analysis engineer, with experience of how airframe repairs are developed and justified. You enjoy working as part of a team to develop effective solutions to complex technical problems and ensure efficient delivery of tasks. Essential Skills Aerospace Engineering degree (or equivalent) and relevant engineering experience. Experience of static analysis of aircraft structures using a range of hand and computer methods. An understanding of the fundamental methods of static stress analysis and an ability to develop these methods. Knowledge and experience of using static strength analysis tools and methods (including ISAMI and Mathcad). Experience of compiling static strength justification reports to standards and ways of working. Good interpersonal and communication skills (both written and verbal). Preferred Skills Be conversant with technical requirements for repair design. Be comfortable working with and manipulating large datasets. Delegated signature for structural analy
Position: Stress Engineer (Repairs) Pay rate: £44 p/h inside IR35. location: Filton, UK Role Type: 12-Month Contract with extension Position: Hybrid (60% Onsite, 40% Remote) IO Associates seeks a Stress Engineer for the Filton site. Join a global aerospace leader specializing in commercial and military aircraft, helicopters, defense, and space sectors . This role offers a chance to contribute to innovative projects within a dynamic team shaping the future of aviation and space systems. Responsibilities Utilizing Company-sanctioned methods and tools for conducting structural static strength analysis of repairs. Generating and consolidating justification reports alongside relevant engineering documentation. Collaborating closely with proficient designers to devise optimal repair solutions. Skills Required Aerospace Engineering degree (or equivalent) with relevant experience. Skilled in static analysis of aircraft structures using diverse methods. Proficient in fundamental static stress analysis methods and capable of enhancement. Familiarity with static strength analysis tools like ISAMI and Mathcad. Experienced in compiling static strength justification reports to Company standards. This is an excellent opportunity to work for an international company that encourages and facilitates personal growth. PS: The Company can't provide any sponsorship, so only candidates with the existing right to work in the UK will be considered for this role. Please apply or share your updated CV at email:
15/05/2024
Project-based
Position: Stress Engineer (Repairs) Pay rate: £44 p/h inside IR35. location: Filton, UK Role Type: 12-Month Contract with extension Position: Hybrid (60% Onsite, 40% Remote) IO Associates seeks a Stress Engineer for the Filton site. Join a global aerospace leader specializing in commercial and military aircraft, helicopters, defense, and space sectors . This role offers a chance to contribute to innovative projects within a dynamic team shaping the future of aviation and space systems. Responsibilities Utilizing Company-sanctioned methods and tools for conducting structural static strength analysis of repairs. Generating and consolidating justification reports alongside relevant engineering documentation. Collaborating closely with proficient designers to devise optimal repair solutions. Skills Required Aerospace Engineering degree (or equivalent) with relevant experience. Skilled in static analysis of aircraft structures using diverse methods. Proficient in fundamental static stress analysis methods and capable of enhancement. Familiarity with static strength analysis tools like ISAMI and Mathcad. Experienced in compiling static strength justification reports to Company standards. This is an excellent opportunity to work for an international company that encourages and facilitates personal growth. PS: The Company can't provide any sponsorship, so only candidates with the existing right to work in the UK will be considered for this role. Please apply or share your updated CV at email:
Performance engineer/Open AI- Stockholm- 6months + Global Enterprise Partners is currently looking for a Performance engineer for an initial contract of 6 months with our client. The project will be Hybrid from Stockholm. Performance engineer requirements: Strong proficiency in performance testing tools such as LoadRunner, JMeter Experience in designing and executing performance tests for various scenarios (load, stress, endurance, etc.) Experience with Open AI Studio! Knowledge of performance testing in microservices architectures and containerized environments Proficiency in performance monitoring and profiling tools like Dynatrace, AppInsights, Splunk, Grafana Experience with cloud-based performance testing and monitoring tools (eg, AWS CloudWatch, Azure Monitor is a plus Strong proficiency in performance testing tools such as K6, Azure LoadTest is a plus Start date: Asap Duration: 6months + Rate: Depending on experience Location: Hybrid, Stockholm If you are interested in this role please get in touch with Rosalie Tomesen or send an email with an updated CV.
15/05/2024
Project-based
Performance engineer/Open AI- Stockholm- 6months + Global Enterprise Partners is currently looking for a Performance engineer for an initial contract of 6 months with our client. The project will be Hybrid from Stockholm. Performance engineer requirements: Strong proficiency in performance testing tools such as LoadRunner, JMeter Experience in designing and executing performance tests for various scenarios (load, stress, endurance, etc.) Experience with Open AI Studio! Knowledge of performance testing in microservices architectures and containerized environments Proficiency in performance monitoring and profiling tools like Dynatrace, AppInsights, Splunk, Grafana Experience with cloud-based performance testing and monitoring tools (eg, AWS CloudWatch, Azure Monitor is a plus Strong proficiency in performance testing tools such as K6, Azure LoadTest is a plus Start date: Asap Duration: 6months + Rate: Depending on experience Location: Hybrid, Stockholm If you are interested in this role please get in touch with Rosalie Tomesen or send an email with an updated CV.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
10/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.