Quantitative Associate- Market Risk… at JPMorganChase · 237 Park…

Summary: JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. They are looking for a junior quant to join their Model Development team to develop and maintain statistical models for risk management and analyze trading pricing models' limitations. Responsibilities: - Develop mathematical models for risk measurement of both derivatives and securities - Carry out research projects into innovative methodologies or improving the existing Market Risk and Regulatory Capital framework - Assess the appropriateness of quantitative risk management models and their limitations, identifying and monitoring the associated model risk - Support our model users by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools, and researching for new innovative models - Analyze limitations of equity and rates trading pricing models and potentially quantify their impact on Market Risk measures (VaR, ES, Stress, Limits) and on model usage - Contribute to documentation, controls, and governance processes Required Qualifications: - You demonstrate quantitative and problem-solving skills as well as research skills - You understand advanced mathematics arising in financial modelling like probability theory, stochastic calculus, statistics - You have excellent practical data analytics skills on real data sets gained through hands-on experience, including familiarity with methods for working with large data and tools for data analysis (pandas, numpy, scikit, TensorFlow) - You have strong foundations in AI and and large language models (LLMs); Prompting: zero-shot, few-shot, chain-of-thought, grounding and context management; Retrieval-augmented generation (RAG) and vector search basics - You bring computer programming experience such as Python or Github copilot - You're enthusiastic about knowledge sharing and collaboration - You have strong interpersonal skills – you listen and communicate in a direct, succinct manner - You have an advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, or Computer Science - You're interested in market risk from risk management and regulatory capital perspectives - You are familiarity with general risk management concepts and terminology (e.g., VaR, ES) - You understand the different types of risk and you can discuss in detail ways of managing these risks Preferred Qualifications: - You have an advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, or Computer Science - You're interested in market risk from risk management and regulatory capital perspectives - You are familiarity with general risk management concepts and terminology (e.g., VaR, ES) - You understand the different types of risk and you can discuss in detail ways of managing these risks Required Skills: Python, Statistical modeling, Data analytics, Advanced mathematics Important Skills: AI, LLMs, Risk management concepts Nice-to-Have Skills: Research skills, Knowledge sharing Benefits: Comprehensive health care coverage, On-site health and wellness centers, A retirement savings plan, Backup childcare, Tuition reimbursement, Mental health support, Financial coaching