Data Scientist

• Automate Reporting: Support the building and automation of investment reports and financial reports, helping to provide timely and accurate insights to portfolio managers and stakeholders.
• Support Model Development: Assist in the design, backtesting, and implementation of statistical and machine learning models for asset allocation, risk management, and return forecasting.
• Conduct Data Analysis: Perform rigorous analysis of financial time series to help model market dynamics, understand volatility patterns, and identify underlying trends.
• Assist in Signal Generation: Contribute to the research, design, and validation of predictive investment signals by working with a wide range of traditional and alternative financial data.
• Contribute to Research: Assist in researching cutting-edge academic and industry findings in quantitative finance and machine learning.
• Support Portfolio Managers: Generate insights for Portfolio Managers through analysis of portfolio performance, risk, and performance attribution.
• Collaboration & Communication: Work collaboratively with the team to integrate quantitative insights into the investment process.

Data Scientist, Quantitative Strategies – Asset & Wealth Management

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Data Scientist