City of London, London, United Kingdom Hybrid / WFH Options
Anson Mccade
leaders make informed decisions through robust data engineering and analysis. Key Responsibilities Perform complex data manipulation, analysis, and modelling to support senior stakeholders. Build scalable solutions using Python (Pandas, NumPy) and SQL for large, complex datasets. Contribute to data pipelines and workflows on Google Cloud Platform (BigQuery) . Translate business requirements into effective data engineering solutions. Work closely with financial … experts in the asset management, investments, and reinsurance domains. Must Have Domain knowledge: Strong background in asset management, investments, or reinsurance. Python expertise: Proven experience with data libraries (Pandas, NumPy). SQL: Advanced data manipulation and querying skills. Cloud experience: GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a More ❯
analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯
analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
G2 Recruitment Group Limited
site in Cambridge; 2 days a week working from home. Candidates must have at least 5 years Python development experience, working on highly numerical software with associated libraries (i.e. NumPy, SciPy etc). Previous experience working on instrumentation or control-based-software working with large amounts of sensor data is essential. Ideally candidates will also have a physics background that … apply to their engineering. Market rates. Please send an up-to-date CV if interested for more details. python developer, software engineer, software developer, hardware engineer, mathematics, physics, physicist, numpy, scipy, control, systems egineer, instrumentation, software engineering g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual More ❯
