What are the responsibilities and job description for the Quantitative Trading & Research - Strategic Indices - Vice President position at JPMorgan Chase?
Quantitative Trading & Research (QTR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling, and portfolio management. As a global team, QTR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Job Summary:
As an Associate or Vice President in the Quantitative Trading & Research (QTR) team, you will be responsible for the implementation, deployment, independent calculation, and risk management of investable indices, also known as Quantitative Investment Strategies (QIS). We are an integral part of the Strategic Indices business, where you will have a direct and independent role in revenue generation. You will work in close partnership with Structuring, Trading, and Technology teams. We are a team with a global footprint and we cover a broad range of asset classes, including Equities, Rates, Commodities, and FX. You will contribute to the firm’s Strategic Indices business by working closely with Trading, Structuring, and Technology teams globally.
Job Responsibilities:
- Develop, expand and support the risk management platform used by traders to hedge investable indices traded with our clients
- Build foundational infrastructure to support new product offerings, enhance efficiency, and improve controls
- Provide tooling and support to Trading teams through risk analysis and investigations of production trading strategies
- Contribute to our automation ecosystem by delivering end-to-end automation and optimization of trading execution and other related investable index trading and risk management workflows
- Work on the development and support of systematic trading strategies with our business partners
- Develop, deploy, and maintain new and existing algorithmic trading strategies
- Work closely with technology and business partners in New York, London, and Asia-Pacific.
Required Qualifications, Capabilities, and Skills
- Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Computer Science, Physics, Engineering, or equivalent.
- Minimum of 2 years of professional experience in the finance industry.
- Proven experience with quantitative investment strategies and derivatives, ideally with cross-asset exposure to Equities, Commodities, and/or Rates.
- Strong programming background with high proficiency in Python.
- Demonstrated contributions to the development of trading and risk management systems; fluency in software engineering design and best practices.
- Comprehensive understanding of financial risk types and the ability to discuss detailed risk management approaches.
- Exceptional attention to detail and commitment to the quality of deliverables.
- Deep understanding of advanced mathematics used in financial modeling, including calculus, numerical analysis, optimization, and statistics.
- Solid grasp of the mathematics involved in the valuation of financial products and trading strategies.
- Exceptional analytical, quantitative, and problem-solving skills.
- Excellent interpersonal and communication skills (both verbal and written), with the ability to engage partners and stakeholders on complex and technical topics and explain them with clarity.
Preferred Qualifications, Capabilities, and Skills
- Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations.
- Interest in applying agile development practices within a front-office trading environment.
- Practical knowledge of derivatives pricing and risk management for vanilla options and volatility products.
- Mindset focused on robust system and solution design and implementation, including diligent testing and verification practices.
- Strong knowledge of compute optimization and development of efficient algorithms.