Associate - Portfolio Analytics- Quantitative Research
2 days ago
Join JPMorgan Chase & Co., a global leader in financial services, as a Quant Analyst in our Wealth Management Investment Solutions team. Contribute to the Portfolio Management and quantitative research process by creating, managing, and analyzing data and analytics. Be part of a dynamic team that leverages global insights to provide integrated solutions and advice.
As a Quant Associate within the Portfolio Management Support team in Mumbai, you develop quantitative tools to enhance investment processes for multi-asset portfolios. You provide day-to-day support to Portfolio Managers, including data aggregation, analytics, and reporting. You conduct research and ad-hoc analysis on performance attribution, risk management, and portfolio construction
**Responsibilities**:
- Develop quantitative tools for investment processes.
- Provide support to Portfolio Managers with data analytics.
- Handle projects independently with urgency.
- Introduce automation in workflows.
- Manage deliverables in primary and backup capacities.
- Conduct research on performance attribution and risk management.
- Propose and redesign process flows and models.
- Develop databases and dashboards for workstreams.
- Collaborate with model governance groups for reviews.
- Implement risk management techniques for portfolios.
- Prepare and present investment reports to clients.
**Required Qualifications, Capabilities, and Skills**:
- Possess 4+ years of experience in quantitative research or data science.
- Hold a degree in a quantitative discipline.
- Demonstrate fluent programming skills in Python.
- Execute process automation projects effectively.
- Understand basic statistics and econometric analysis.
- Communicate complex issues clearly and precisely.
- Parse complex tasks and juggle priorities effectively.
**Preferred Qualifications, Capabilities, and Skills**:
- Under Graduate /Graduate Degree in a quantitative discipline such as mathematics, physics, statistics, engineering, etc.
- Hold certifications like PRM/FRM, CFA, or CQF.
- Experience in R or Matlab is advantageous.
- Demonstrate hands-on experience with market risk modeling.
- Show ability to present logically and simply.
- Display strategic vision in evolving analytical tools.
- Leverage global economic insights for strategic views.
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