Quantitative Portfolio Analytics - Associate
JPMorgan Chase
- Mumbai, Maharashtra
- Permanent
- Full-time
- Develop portfolio construction/optimization models, risk & return calibration and utilize your expertise in selecting appropriate investment vehicles, including stocks, bonds, mutual funds, exchange-traded funds (ETFs), and alternative investments, to construct well-balanced and diversified portfolios.
- Conduct comprehensive analysis of clients' existing portfolios with empirical experience in multivariate factor modeling, portfolio optimization and risk models, including asset allocation, performance evaluation, and risk assessment.
- Develop user interfaces facilities and Application Programming Interfaces using Python (such as source data from upstream systems and generate automated graphic output to PDF and PowerPoint), integrating technological tools and apps with internal and third-party platforms.
- Implement risk management techniques to mitigate portfolio risks, including monitoring.
- Propose new and redesign existing process flows, models and excel based tools to achieve efficiencies and controls.
- Strong understanding of investments and communication skills to potentially communicate knowledge confidently with Advisors.
- Prepare and effectively present quantitative solution/ analysis to senior management, quants, technologists, and project managers.
- Co-ordinate with multiple teams for monitoring the portfolios effectively.
- 7 - 9 years of experience in analytics or data insights-related role, quant model management, investment and/or risk management experience with Python application development.
- Graduate or Post Graduate Degree in a quantitative discipline such as mathematics, physics, statistics, engineering, etc.
- Advanced knowledge of equity, fixed income and alternative investments, as well as investment products including mutual funds, ETFs, SMAs, hedge funds, structured products etc.
- Solid understanding of financial instrument pricing models, multivariate factor modeling, asset allocation, portfolio construction, portfolio optimization and risk management.
- Strong, demonstrated experience with mathematical modelling languages and/or data analysis tools (Python, data structure, Optimization library, Gurobi); Proven advanced Excel expertise is a must.
- Experience in designing, modelling, testing, and challenging quantitative/optimization models, including interactions with auditors to present these models.
- CQF/CFA/ FRM preferred.
- Experience navigating and interpreting quantitative research documentation and understanding of fund strategies / structures.
- Excellent written and verbal communication skills, with the ability to present logically, precisely and in a simple manner, complex and technical issues.