Quantitative Research Strategic Indices Modelling Associate Vice President
JPMorganChase
Job Overview
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Job Description
About the Role: Quantitative Research Strategic Indices Modelling Associate Vice President
As a Quantitative Research Strategic Indices Modelling Associate Vice President, you will be a key contributor to JPMorganChase's Strategic Indices business. This role involves close collaboration with Traders, Structuring, and Technology teams globally. You will function as a Quant Algo Developer, developing sophisticated mathematical pricing models and cutting-edge methodologies to design, value, and build algorithmic trading strategies and their respective hedges.
J.P. Morgan’s Global Quantitative Research Group in Mumbai, established in 2013, is a rapidly growing team providing in-depth knowledge across multiple asset classes and geographies. Deeply integrated with the Investment Banking business, the team facilitates deals and transactions by offering vital research and insight. The QR SI team utilizes financial engineering, data analytics, statistical modeling, and portfolio optimization techniques to construct Investable (tradable) Indices for use in various financial products.
As a global team, you will partner with traders, marketers, and risk managers across all products and regions, contributing to sales, client interaction, product innovation, valuation and risk management, portfolio optimization, and applying appropriate financial risk controls. This position seeks an experienced quantitative strategist in Mumbai to work closely with trading desks on the design, build, and risk management of tradable indices.
Job Responsibilities
- Develop and maintain new and existing algorithmic trading strategies.
- Understand valuation and risk management of production trading strategies.
- Contribute to the SDLC infrastructure of complex tradable strategies and build analytical tools for risk analysis, identifying PnL deviations and other trade investigations.
- Support both OTC and electronic trading activities by explaining model behavior and PnL residuals, identifying major sources of risks in portfolios.
- Assess the appropriateness and limitations of quantitative models and algorithmic strategies, identifying and monitoring associated model risk.
- Deliver end-to-end automation and optimization of trading execution and other related workflows.
- Work closely with traders/structurers in Asia-Pacific, London, and New York, proactively learning J.P. Morgan’s sophisticated solutions.
Required Qualifications, Skills, And Capabilities
- Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, or a related field.
- Strong programming background with proficiency in Python or C++.
- Advanced mathematics skills for financial modeling, including calculus, numerical analysis, optimization, and statistics.
- Understanding of the mathematics involved in the valuation of financial products and trading strategies.
- Experience with object-oriented programming concepts.
- Exceptional analytical, quantitative, and problem-solving skills.
- Excellent communication skills, both verbal and written, with the ability to engage and influence partners and stakeholders, communicate complex concepts clearly, and defend their validity.
Preferred Qualifications, Skills, And Capabilities
- Experience with financial markets and familiarity with general trading concepts and terminology.
- Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations.
- Interest in market microstructures and quantitative trading within global markets.
- Understanding of different types of financial risk and methods for managing them.
- Interest in applying agile development practices in a front-office trading environment.
- Practical knowledge of derivatives pricing and risk management of vanilla options and volatility products.
- A mindset of robust system and solution design and implementation, including diligent testing and verification practices.
Key skills/competency
- Quantitative Research
- Strategic Indices
- Algorithmic Trading
- Financial Modeling
- Python
- C++
- Data Analytics
- Risk Management
- Derivatives Pricing
- Numerical Analysis
How to Get Hired at JPMorganChase
- Research JPMorganChase's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in quantitative research, algorithmic trading, financial modeling, and programming skills (Python/C++), aligning with JPMorganChase's requirements.
- Showcase technical expertise: Prepare to discuss advanced mathematics, derivatives pricing, and object-oriented programming concepts relevant to the Quantitative Research Strategic Indices Modelling role.
- Practice behavioral questions: Be ready to articulate problem-solving approaches, collaboration experience, and how you manage risk in a fast-paced financial environment, demonstrating alignment with JPMorganChase's values.
- Network strategically: Connect with current and former JPMorganChase employees on LinkedIn to gain insights into the firm's quantitative research practices and culture.
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