JPMorgan Risk Management - Investment & Analytics Senior Associate 

United States, New York, New York 

961495750

As a Senior Associate in Risk Management - Investment Risk & Analytics, you will oversee the risk management of Managed Strategies across the Private Bank and Consumer Bank sectors of WM. Your responsibilities will encompass JP Morgan's proprietary products, third-party funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds. Collaborating with senior team members, you will supervise business activities, models, and methodologies related to Investment Risk, with a focus on creating innovative tools and methodologies for risk quantification.

Job responsibilities:

• Perform analysis including model recalibrations, back-tests, stress tests, scenario and sensitivity analysis.
• Utilize advanced statistics, econometrics and mathematical skills including graph theory applications, probability theory, stochastic calculus, Monte Carlo simulation, numerical analysis, optimization techniques and time series analysis.
• Focus on development and enhancement of machine learning algorithms to solve problems like generalized outlier identification.
• Leverage knowledge of stochastic calculus, algorithms to develop and study effect of simultaneous multiple Stress scenarios and their impact on investments.
• Contribute toward the continuous innovation and improvement in efficiency and effectiveness of processes within the asset-class group, including discussion of overall team strategy.
• Represent risk analytics in governance forums, risk committees, and audit discussions.
• Work with Technology on model testing, implementation, and production.
• Work with risk managers and other stakeholders to address their requests for additional analysis based on specific needs as they arise.
• Participate in Regulatory and validation exams by providing documentation and responses to regulators and internal validators.
• Partner with other Risk groups to identify and understand simultaneous impact of multiple risks such as product, fiduciary, counterparty, concentration, ESG/ climate, liquidity and their impact on investments.

Required qualifications, capabilities, and skills

• Bachelor's degree/Master's degree in Applied Mathematics, Mathematics, Computer Science, Financial Engineering, or a related quantitative field.
• Knowledge and hands-on experience in Python is required
• At least 5 years’ in Financial Services, with at least 3 years related to quantitative risk/ modeling.
• Experience in AI, ML, NLP, Big Data Analytics.
• Have experience with investment products including fixed income, equity, and mutual funds
• Experience and knowledge of global markets with hands on experience on tools like Bloomberg and Morningstar
• Strong quantitative skills and ability to work with diverse cultures in a global team.
• Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression.
• Monte Carlo simulations, backward induction, and other numerical methods to solve partial differential equations.
• Development of pricing models using financial mathematics principles, including stochastic calculus and no-arbitrage pricing theory.

Preferred qualifications, capabilities, and skills

• Tableau is an advantage