Are you a dynamic individual with a passion for financial markets and strong analytical skills? Join our Investment Solutions Data, Analytics & Modeling team in Mumbai. Contribute to the Portfolio Management and Governance process by creating, managing, and analyzing data and analytics to drive strategic vision and innovation.

As a Portfolio Management Support Analyst in the Data Analytics & Modelling Team, you will play a key role in enhancing investment procedures for multi-asset portfolios. Your duties will involve creating quantitative tools for investment processes, supporting Portfolio Managers with data and analytics, and conducting research on performance attribution to suggest improvements for process flows and models. Additionally, you will collaborate with model governance groups to implement risk management techniques, monitor asset allocations, set risk limits, employ hedging strategies, prepare detailed investment reports, and present portfolio performance to clients while promoting process efficiencies and controls.

Job Responsibilities:

Develop quantitative tools for investment processes.Support Portfolio Managers with data and analytics.Conduct research on performance attribution.Propose and redesign process flows and models.Collaborate with model governance groups.Implement risk management techniques.Monitor and adjust asset allocations.Set risk limits and employ hedging strategies.Prepare comprehensive investment reports.Present portfolio performance to clients.Drive efficiencies and controls in processes.

 

Required Qualifications, Capabilities, and Skills:

Demonstrate 3+ years of quantitative research experience.Hold a degree in a quantitative discipline.Exhibit fluent programming skills in Python.Execute process automation projects.Understand basic statistics and econometric analysis.Communicate complex issues clearly.Manage priorities in a dynamic environment.

 

Preferred Qualifications, Capabilities, and Skills:

Experience in asset/wealth management organizations.Knowledge of R or Matlab programming.Hands-on experience with market risk modeling.Certifications like PRM/FRM, CFA, and CQF.Keen interest in financial markets.Ability to present complex data simply.Strategic vision to evolve analytical tools.