ITech Consult
Data Scientist/Engineer in Financial Markets - Trading/Azure/Python/Scala/Machine Learning Project/Role : For our clients in finance sector in Zurich we are looking for Data Scientist/Engineer in Financial Markets. Main Tasks : Build data infrastructure for Trading Analytics, including Databases and Data Lake. Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales. Ensure data quality, including mining, cleansing, and analysing large datasets for use-case development. Write well-documented production code and algorithms, mainly in Python and Scala. Create software applications, user interfaces, APIs, dashboards, and automated reports for business users. Build systems for collection and transformation of large data sets to enable model development. Understand Machine Learning literature and techniques to mentor team members. Assist with the execution of Big Data solutions and related technologies. Present results from AI and Financial models in a proficient manner to stakeholders. Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines. Skills/Requirements: Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike. 4+ years of work experience as a Data Scientist. Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning. Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java. Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar). Knowledge of Data Architecture, Databases (including Oracle, MSSQL, and MongoDB), Data Lakes, and Cloud Computing (eg MS Azure or Snowflake). Knowledge of PowerBI, Tableau, and VBA. Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods. Knowledge of Spark, Databricks, Kafka, and Real Time analytics is a plus. Collaborative, team player, open minded, and easy to work with. Proficient presentation skills and high attention to detail. Able to explain technical results to non-technical audiences. Language: English C1 Reference No.: 923397OK Role: Data Scientist/Engineer in Financial Markets Industry: Finance Location: Zurich und Region Workload: 80%-100% Start: ASAP (latest 01.08.2024) End: 31.12.2024 (with possibility of extension) Should you find yourself suitable for this position then please send us your complete CV using the link in this advert. About us: ITech Consult is a certified ISO 9001:2015 Swiss company with offices also located in Germany and Ireland. ITech Consult is specialised in delivering IT candidates for contract work. We were founded in 1997 by IT professionals; hence we well understand what it means to be professionally supported in your search for a new project and being employed.
Data Scientist/Engineer in Financial Markets - Trading/Azure/Python/Scala/Machine Learning Project/Role : For our clients in finance sector in Zurich we are looking for Data Scientist/Engineer in Financial Markets. Main Tasks : Build data infrastructure for Trading Analytics, including Databases and Data Lake. Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales. Ensure data quality, including mining, cleansing, and analysing large datasets for use-case development. Write well-documented production code and algorithms, mainly in Python and Scala. Create software applications, user interfaces, APIs, dashboards, and automated reports for business users. Build systems for collection and transformation of large data sets to enable model development. Understand Machine Learning literature and techniques to mentor team members. Assist with the execution of Big Data solutions and related technologies. Present results from AI and Financial models in a proficient manner to stakeholders. Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines. Skills/Requirements: Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike. 4+ years of work experience as a Data Scientist. Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning. Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java. Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar). Knowledge of Data Architecture, Databases (including Oracle, MSSQL, and MongoDB), Data Lakes, and Cloud Computing (eg MS Azure or Snowflake). Knowledge of PowerBI, Tableau, and VBA. Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods. Knowledge of Spark, Databricks, Kafka, and Real Time analytics is a plus. Collaborative, team player, open minded, and easy to work with. Proficient presentation skills and high attention to detail. Able to explain technical results to non-technical audiences. Language: English C1 Reference No.: 923397OK Role: Data Scientist/Engineer in Financial Markets Industry: Finance Location: Zurich und Region Workload: 80%-100% Start: ASAP (latest 01.08.2024) End: 31.12.2024 (with possibility of extension) Should you find yourself suitable for this position then please send us your complete CV using the link in this advert. About us: ITech Consult is a certified ISO 9001:2015 Swiss company with offices also located in Germany and Ireland. ITech Consult is specialised in delivering IT candidates for contract work. We were founded in 1997 by IT professionals; hence we well understand what it means to be professionally supported in your search for a new project and being employed.
TEKsystems
Cork, Cork
Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract TEKsystems is thrilled to offer an exciting opportunity for a Junior data engineer/analyst (2-3 years experience ) to join our dynamic team of software developers and data scientists in the Business Analytics team for one of the world's largest technology companies in the world. Why This Role Is Exciting: Innovative Culture and Collaboration - Our client fosters a creative and collaborative environment. Their visionary leadership, commitment to innovation, and unique culture contribute to employee contentment. Consumer-Centric Approach : Our clients' focus on simplicity and consumer-first attitude sets it apart. In a world filled with complex features and gadgets, our client stands out by prioritising what truly matters. Key Requirements for Success: We are seeking a Data Engineer to support some innovative data pipeline projects working across a broad, modern tech stack. You must have experience working with modern databases such as Snowflake and MySQL and interested in visualization tools such as Tableau and PowerBI. Any skills in Big Data and Process Orchestration are beneficial. Role Details: Location: Cork, Ireland Office Days: 3 days a week 2-3 years experience If you're a Data Analyst/Data Engineer seeking your next opportunity, apply directly or reach out Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract Job Title: Data Engineer Location: Cork, Ireland Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract TEKsystems is thrilled to offer an exciting opportunity for a Junior data engineer/analyst (2-3 years experience ) to join our dynamic team of software developers and data scientists in the Business Analytics team for one of the world's largest technology companies in the world. Why This Role Is Exciting: Innovative Culture and Collaboration - Our client fosters a creative and collaborative environment. Their visionary leadership, commitment to innovation, and unique culture contribute to employee contentment. Consumer-Centric Approach : Our clients' focus on simplicity and consumer-first attitude sets it apart. In a world filled with complex features and gadgets, our client stands out by prioritising what truly matters. Key Requirements for Success: We are seeking a Data Engineer to support some innovative data pipeline projects working across a broad, modern tech stack. You must have experience working with modern databases such as Snowflake and MySQL and interested in visualization tools such as Tableau and PowerBI. Any skills in Big Data and Process Orchestration are beneficial. Role Details: Location: Cork, Ireland Office Days: 3 days a week 2-3 years experience If you're a Data Analyst/Data Engineer seeking your next opportunity, apply directly or reach out Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract Job Title: Data Engineer Location: Cork, Ireland Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.