Quantitative Trading and Research – Equity Derivatives Exotics - Associate

Quantitative Trading and Research – Equity Derivatives Exotics - Associate jobs in United States

JPMorganChase

• $150K/yr - $200K/yr

Responsibilities

• Develop a scalable risk-management and lifecycle-modeling framework capable of handling the full range of products across all regions globally
• Model derivative products using C++ - Python hybrid programming to meet business requests
• Drive payoff innovation using the product design framework and machine learning techniques
• Streamline product review under the product design framework and provide clear model documentation to facilitate model approvals
• Evaluate quantitative methodologies including identifying and monitoring model risks associated with derivative valuation models
• Support trading activities by explaining model behavior, identifying major sources of risk in portfolios and carrying out scenario analyses

Preferred

• Knowledge of risk management frameworks and regulatory requirements

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions
• Paid in the form of cash and/or forfeitable equity
• Additional details about total compensation and benefits will be provided during the hiring process
• Glassdoor
• 3.9
• Global financial institution offering banking, asset management, and advisory services.
• New York, New York, USA
• https://www.jpmorganchase.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Accounting and Finance
• Engineering and Development
• Management and Executive
• Customer Service and Support
• Product Management
• Legal and Compliance
• Marketing
• Sales
• Creatives and Design
• Human Resources
• Public Sector and Government
• Trends of Total Sponsorships
• *2026

Qualifications

• Master or PhD degree in a quantitative field from a top university
• 1-3 years of experience in derivatives quantitative research
• Strong programming skills in C++, Python and numerical packages
• Experience with statistical analysis and machine learning
• Experience with derivatives pricing models and equity derivatives products
• Solid understanding of the application of Monte-Carlo simulation and finite-difference PDE in derivative pricing
• Ability to communicate effectively with business stakeholders
• Prior experience in a front-office quantitative research role
• Knowledge of risk management frameworks and regulatory requirements
• 1-3 years of experience in derivatives quantitative research.

Required skills

• C++, Derivatives pricing models, Derivatives quantitative research, Equity derivatives products, Finite-difference PDE, Machine learning, Monte-Carlo simulation, Numerical packages, Python, Risk management frameworks, Statistical analysis

Experience

• 1-3 years