Quantitative Researcher - Portfolio - Data Science/Machine Learning - Multi-Asset

Quantitative Researcher - Portfolio +Multi-Asset Class+Data Science/Machine learning

- Developing quantitative tools to enhance investment process for multi-asset portfolios.

- Provide day-to-day support to Portfolio Managers, including data aggregation, analytics and reporting

- Conducting research and ad-hoc analysis on performance attribution, risk management and portfolio construction

- Propose new and redesign existing process flows, models and excel based models/tools to achieve efficiencies and controls.

- Work with model governance groups for model review and maintenance

- Certifications like PRM/FRM, CFA and CQF are a good to have.

- Fluent programming skills in Python required. Experience in R or Matlab.