10 joburi disponibile

Quantitative Analyst required by a Football data and betting company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role, but you will be able to choose 1 day per week to work from home. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases An interest/passion for Football! The company offer some great benefits including a half year bonus, subsidised office meals, gym membership, and private medical insurance. If you are interested in this role, please apply or contact (see below) for further information. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Principal Data Analytics ETL Analyst. Candidate will be responsible for expanding the analytics capabilities by making data accessible and usable to analysts throughout the organization. In this role you will lead the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. You will demonstrate and disseminate expertise in data sets and support teams across the organization in successfully harnessing this data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near Real Time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions and developing and maintaining our analytics platform to meet the company's security and IT standards. Responsibilities: Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics Work with various business and functional teams to understand their data and technical requirements and ensure delivered solutions address needs Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs Approve documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: [Required] Ability to collaborate with multiple partners (eg, Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards [Required] Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output [Required] Comfortable supporting business analysts on high-priority projects [Required] High attention to detail and ability to think structurally about a solution [Required] Knowledge of and experience working with analytics/reporting technology and underlying databases [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Experience working within an agile environment= Technical Skills: Demonstrated proficiency in: [Required] Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders [Required] Knowledge of and experience working with various analytics/reporting technologies [Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences [Required] Ability to complete work iteratively in an agile environment [Required] Proficiency in SQL [Preferred] Experience with Python and/or R [Preferred] Experience with visualization/reporting tools, such as Tableau [Preferred] Experience with ETL tools, such as Alteryx Education and/or Experience: [Required] Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience [Preferred] Master's degree [Required] 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientist Certificates or Licenses: [Preferred] Cloud platform certification [Preferred] BI tool certification

NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst

*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 Principal, Data Analytics Engineering. This principal will lead the design and build of internal data analytics, data warehouse, and maintain ETL processes. They will also manage the validation of data models to make sure the information is available in analytics warehouse. Required: Financial industry experience, SQL, Python, Alteryx, Tableau. Responsibilities: Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs Approve documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientist Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders Proficiency in SQL Experience with Python and/or R Experience with visualization/reporting tools, such as Tableau Experience with ETL tools, such as Alteryx Ability to collaborate with multiple partners (eg, Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards Knowledge of and experience working with analytics/reporting technology and underlying databases Experience working within an agile environment

Commodities Quant Hedge Fund (Commodities) London (or Singapore) Our client is a leading player in the commodities trading space, with a strong presence in both exchange-traded and over-the-counter (OTC) markets, as well as physical trading across energy, power, natural gas, and metals. They are seeking a highly skilled and hands-on Quantitative Analyst/Developer to join our Commodities Desk, supporting risk management and pricing functions. This role is critical in building foundational models and enhancing their multi-strategy trading platform. You will work closely with portfolio managers and risk teams, building production-level quantitative models for pricing and risk management systems. Key Responsibilities Develop and maintain production-quality pricing models for exchange-traded, OTC, and physical commodities (with a focus on energy, power, and natural gas). Design and enhance risk management systems to support a multi-strategy trading platform. Collaborate with risk teams and portfolio managers to identify gaps and implement robust solutions. Build foundational pricing models and tools for physical trading in energy, power, and natural gas, particularly for US markets. Write and maintain high-quality code in Python and/or C++ , ensuring performance and reliability in a production environment. Operate effectively across time zones, particularly addressing requirements in Asia markets for Singapore-based operations. Requirements Strong quantitative background with experience in developing pricing and risk management systems. Expertise in commodities pricing , particularly energy, power, and natural gas. Experience with physical trading markets (energy, power, and US natural gas preferred). Proven ability to write production-quality code in Python and/or C++ . Familiarity with multi-strategy trading platforms and risk management functions. Exceptional problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Willingness to face off with portfolio managers and risk teams to align on requirements and deliverables. Based in London or Singapore , with flexibility to operate across time zones. Preferred Qualifications Experience in both exchange-traded and OTC commodities markets. Track record of building foundational models in commodities trading environments. Strong understanding of the nuances of physical trading and logistics. Leadership experience while remaining hands-on with technical deliverables.

Commodities Quant Hedge Fund (Commodities) London (or Singapore) Our client is a leading player in the commodities trading space, with a strong presence in both exchange-traded and over-the-counter (OTC) markets, as well as physical trading across energy, power, natural gas, and metals. They are seeking a highly skilled and hands-on Quantitative Analyst/Developer to join our Commodities Desk, supporting risk management and pricing functions. This role is critical in building foundational models and enhancing their multi-strategy trading platform. You will work closely with portfolio managers and risk teams, building production-level quantitative models for pricing and risk management systems. Key Responsibilities Develop and maintain production-quality pricing models for exchange-traded, OTC, and physical commodities (with a focus on energy, power, and natural gas). Design and enhance risk management systems to support a multi-strategy trading platform. Collaborate with risk teams and portfolio managers to identify gaps and implement robust solutions. Build foundational pricing models and tools for physical trading in energy, power, and natural gas, particularly for US markets. Write and maintain high-quality code in Python and/or C++ , ensuring performance and reliability in a production environment. Operate effectively across time zones, particularly addressing requirements in Asia markets for Singapore-based operations. Requirements Strong quantitative background with experience in developing pricing and risk management systems. Expertise in commodities pricing , particularly energy, power, and natural gas. Experience with physical trading markets (energy, power, and US natural gas preferred). Proven ability to write production-quality code in Python and/or C++ . Familiarity with multi-strategy trading platforms and risk management functions. Exceptional problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Willingness to face off with portfolio managers and risk teams to align on requirements and deliverables. Based in London or Singapore , with flexibility to operate across time zones. Preferred Qualifications Experience in both exchange-traded and OTC commodities markets. Track record of building foundational models in commodities trading environments. Strong understanding of the nuances of physical trading and logistics. Leadership experience while remaining hands-on with technical deliverables.

Python Software Developer - Front Office Risk Development Location: Toronto, Canada Our client, a leader in the financial services sector, is seeking a proficient Python Software Developer to join their Front Office risk team. This role focuses on developing critical risk management tools, including building Value-at-Risk (VaR) engines and position management systems from the ground up. This is a high-impact, mid-level position that will enable you to contribute to a range of risk-related applications and analytics in a Front Office environment. Responsibilities Design, develop, and implement advanced Python applications and tools for Front Office risk management, specifically VaR engines, risk systems, and position management tools. Collaborate closely with traders, quantitative analysts, and other key stakeholders to gather and understand business requirements, ensuring solutions align with Front Office risk management needs. Engage in the entire software development life cycle , from requirement gathering and system design to coding, testing, deployment, and ongoing maintenance. Optimize application performance and ensure system reliability for critical risk-related applications. Apply best practices in software engineering, including code reviews, version control, and automated testing to deliver efficient, maintainable, and scalable applications. Technical Skills & Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Strong Python programming skills , with a focus on performance optimization and handling large data sets. Knowledge of quantitative finance concepts like VaR, risk metrics, and portfolio analysis. Experience with Front Office environments in financial services is highly desirable. Proficiency in SQL and familiarity with relational databases (eg, PostgreSQL). Knowledge of FastAPI and Pandas for data handling and API development. Understanding of Multithreading and asyncio for high-performance computing. Cloud development experience , preferably with AWS. Familiarity with containerization technologies (Docker, Kubernetes) for deploying scalable applications. Preferred Experience Prior exposure to financial services, ideally within a Front Office risk or trading context. Understanding of trading and risk management workflows, with experience building applications used directly by trading and risk management teams.

Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to PhD level, or at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. Any sports trading experience would be beneficial. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Ideally a PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University or equivalent Proficient in several of the following: Python, C#, C++ Mathematical and statistical Modelling Excellent Mathematical skills Analytic mindset Specific sports trading knowledge is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (see below) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Java Developer. 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 5+ 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.

Mercator Digital is an award-winning digital consultancy, ranked at number four among the Best Medium Sized Workplaces in the UK and recognised as one of Europe's top 100 Best Workplaces. We re also celebrated for our commitment to employee wellbeing, professional development, diversity and excellence in tech. This is an exciting time to join Mercator Digital. We re growing fast opening new offices, expanding our teams, and creating new opportunities for development. We re proud of our culture one that's lively, inclusive, and forward-thinking. As we grow, preserving our culture remains a priority. That's why we have an annual survey for feedback, an open-door policy for communication, plenty of social events to foster connections, and a benefits package to show our appreciation. Knowledge/experience You will need: Proven experience of a range of usability testing methodologies to reveal actionable customer insights and gather user needs for web-based services Proven experience of creating research strategies/approaches Proven experience of managing, executing and analysing usability test sessions, and facilitating workshops Excellent analytical and problem solving skills, and the ability to quickly develop recommendations based on quantitative and qualitative evidence Proven ability to explain user needs to decision makers and act as a persuasive advocate for those needs Extensive knowledge of human factors, ethnography, and the user-centred design process for products and services in an iterative development environment Demonstrable knowledge, experience in, and passion for user centred design practices Proven experience of audience modelling and developing design personas Experience across web content, tools and transactional services, especially those with complex user journeys (involving development of a logical sequence of steps to complete transactions) Ability to work with data, from gathering and analysis through to design and presentation Ability to mentor other User Researcher(s) Excellent interpersonal skills and the ability to quickly develop strong working relationships in high pressure environments Experience of working in an agile development environment with Designers, Business Analysts and Developers to create new digital products and services Experience of identifying the needs of users with accessibility requirements *Applicants must have the right to work in the UK and the ability to pass BPSS vetting