Mathematician (Visa Sponsorship Available)

About the Company

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. The Firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Job Description

We are seeking a highly skilled and innovative Mathematician to join our quantitative analytics team in Tulsa, OK. This on-site role is critical for developing sophisticated mathematical models and algorithms to address complex challenges in financial markets, risk management, and strategic decision-making. The ideal candidate will possess a strong theoretical background in mathematics, statistics, and computational methods, coupled with practical experience in applying these principles to real-world financial problems. We value analytical rigor, creativity in problem-solving, and a deep understanding of financial instruments and market dynamics. Visa sponsorship is available for qualified international candidates.

Key Responsibilities

• Develop, validate, and implement complex mathematical and statistical models for pricing, risk management, and quantitative trading strategies.
• Conduct in-depth quantitative research on financial data, market trends, and economic indicators to identify patterns and predict future outcomes.
• Collaborate with traders, risk managers, and technology teams to integrate models into production systems and ensure their accurate and efficient use.
• Perform rigorous model testing, back-testing, and stress testing to assess performance and identify limitations.
• Produce clear, concise, and comprehensive documentation of models, methodologies, and findings.
• Stay abreast of advancements in quantitative finance, mathematics, and data science to continuously improve modeling techniques.
• Provide expert quantitative analysis and support for ad-hoc projects and strategic initiatives.
• Mentor junior quantitative analysts and contribute to a culture of continuous learning and innovation.

Required Skills

• Ph.D. or Master's degree in Mathematics, Physics, Statistics, Financial Engineering, or a related quantitative field.
• 3+ years of experience in quantitative finance, risk management, or a similar analytical role.
• Exceptional analytical and problem-solving skills with a strong foundation in stochastic calculus, numerical methods, and optimization.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Experience with large datasets and database tools (SQL).
• Strong understanding of financial markets, products, and risk factors.
• Excellent written and verbal communication skills, with the ability to explain complex quantitative concepts to diverse audiences.

Preferred Qualifications

• Experience with machine learning techniques and their application in finance.
• Familiarity with regulatory requirements related to model risk management (e.g., SR 11-7).
• Prior experience with high-performance computing or distributed systems.
• Publications in peer-reviewed quantitative journals.
• Certifications like FRM or CFA.

Perks & Benefits

• Comprehensive health, dental, and vision insurance plans.
• 401(k) retirement savings plan with company match.
• Generous paid time off, including vacation, sick leave, and holidays.
• Employee wellness programs and on-site fitness centers (where available).
• Professional development opportunities, including tuition reimbursement and training programs.
• Employee assistance program.
• Visa sponsorship for eligible international candidates.
• Competitive base salary and performance-based bonuses.

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