Full-Time
Derivatives Risk Modeling and Analytics Associate
JP Morgan Chase
10,001+ employees
Global financial services with diversified offerings
Compensation Overview
$90k - $160k/yr
Mumbai, Maharashtra, India + 1 more
More locations: New York, NY, USA
In Person
Bachelor's
 Quantitative Finance (1) |
|---|
Get referred to JP Morgan Chase
See people who can refer or advise you
- Experience: 5+ years of experience in quantitative research or model development focused on derivatives, in an asset management, private bank, or sell-side environment.
- Exposure to derivatives pricing, risk modeling, or analytics across one or more asset classes.
- Strong foundational knowledge of derivatives pricing theory — including Black-Scholes and extensions, familiarity with local/stochastic volatility models (Heston, SABR), interest rate modeling frameworks, and numerical methods (Monte Carlo, PDE, lattice). Understanding of exotic payoff structures, path dependency, and Greeks computation.
- Understanding of portfolio-level risk concepts for derivatives, including VaR/CVaR methodologies, factor-based risk decomposition, and sensitivity-based risk aggregation. Awareness of counterparty credit risk concepts (CVA/DVA) is a plus.
- Ability to clearly communicate quantitative findings to senior team members, portfolio managers, and risk stakeholders; comfort working in a collaborative, cross-functional environment.
- Familiarity with market data vendors and platforms including Bloomberg, MSCI, or ICE. Exposure to derivatives pricing libraries (QuantLib or equivalent) is a plus.
- Strong proficiency in Python with experience in numerical computing (NumPy, SciPy), data analysis (pandas), and visualization (matplotlib, seaborn).
- Advanced degree in a quantitative discipline in Financial Engineering, Mathematics, Physics, Statistics, Computer Science, or a related quantitative field.
- Derivatives Risk Modeling: Develop and implement pricing and risk models for vanilla and exotic derivatives across equity, rates, credit, FX, and commodities.
- Greeks & Sensitivity Analytics: Build and maintain sensitivity frameworks capturing delta, gamma, vega, theta, rho, and higher-order Greeks; implement bump-and-reprice and algorithmic differentiation approaches for efficient risk computation.
- P&L Attribution: Develop attribution frameworks isolating contributions from underlying moves, volatility surface changes, time decay, correlation, skew, and basis risk across derivative portfolios.
- Factor Modeling: Contribute to multi-factor risk models that capture key drivers of derivatives portfolios, including implied volatility surface dynamics, correlation structures, term structure movements, and skew behavior.
- Stress Testing & Scenario Analysis: Implement stress testing frameworks for volatility shocks, correlation breakdowns, liquidity dislocations, gap risk, and historical crisis events; support scenario methodologies capturing tail risk, non-linear payoff effects, and path dependency.
- Structured Products Analytics: Develop valuation and risk models for structured notes and bespoke payoffs, including autocallables, barrier products, and range accruals; model embedded optionality and issuer credit risk.
- Research: Conduct empirical research on volatility surface dynamics, correlation modeling, model calibration techniques, and market microstructure; contribute to new risk factor development and model enhancements.
- Validation & Governance: Perform backtesting of pricing models, validate model assumptions against market data, and contribute to comprehensive model documentation in line with governance standards.
- Technology & Data: Partner with Technology to productionize scalable derivatives pricing and risk engines, build APIs, and curate multi-vendor market data (volatility surfaces, curves, correlation matrices).
- Collaboration: Work closely with senior team members and colleagues in New York and Mumbai, collaborate with derivatives solutions specialists, and contribute to a culture of intellectual rigor and continuous improvement.
- Exposure to derivatives pricing libraries (QuantLib or equivalent) is a plus.
- Awareness of counterparty credit risk concepts (CVA/DVA) is a plus.
A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1959
Get referred to JP Morgan Chase
See people who can refer or advise you
Simplify's Take
What believers are saying
- August 3, 2026 housing initiative deepens mortgage lending and affordable-housing deal flow.
- August 5, 2026 Los Angeles expansion adds business bankers and entrepreneur coaching ahead of LA28.
- August 2026 defense and AI financings show JPMorganChase financing scarce-capital sectors competitors chase.
What critics are saying
- Wyden’s August 4, 2026 report attacks JPMorganChase’s Epstein AML controls and prompts regulator probes.
- Congressional scrutiny can trigger fines, mandated monitoring, and clawbacks for former compliance failures by 2027.
- If AML governance failures persist, JPMorganChase faces franchise damage with wealthy clients and institutional counterparties.
What makes JP Morgan Chase unique
- August 2026 housing plan deploys $750 billion through 2035 across financing, policy, and branches.
- August 2026 small-business expansion leverages 5,000-plus branches and coaching programs nationwide.
- JPMorganChase combines lending, advisory, and capital markets across consumer, corporate, and government clients.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Flexible Work Hours
Paid Sick Leave
Paid Holidays
Growth & Insights and Company News
6 month growth
↓ -5%1 year growth
↓ -5%2 year growth
↓ -5%General Motors has secured a $4.5 billion financing arrangement to strengthen its supply chain and ensure critical component availability. The deal involves Procura Auto Parts, JPMorgan Chase, and Banco Santander, which will prepay selected suppliers on GM's behalf. GM will reimburse Procura using formal payment promises after parts are used in production, with repayment required no later than 31 July 2029. The automaker will pay interest, an agreed premium, and an annual fee on unused funds. The arrangement addresses supply vulnerabilities following years of industry-wide disruptions involving semiconductors, rare earths, and wire harnesses. It reflects GM's broader effort to diversify sourcing amid US tariffs and reduced reliance on Chinese suppliers. GM established the arrangement on Friday.
Global AI, a two-year-old technology company, has secured $441 million in debt financing led by JPMorgan Chase & Co. The funds will be used to address increasing demand for artificial intelligence data centres. The deal highlights growing investor confidence in AI infrastructure as businesses rapidly scale their computing capabilities. Data centres are essential for training and deploying large AI models, which require significant processing power and storage capacity. The debt financing structure allows Global AI to expand operations without diluting existing shareholders' equity stakes. JPMorgan's involvement signals major financial institutions' interest in backing critical AI infrastructure projects.
The week's 10 biggest funding rounds: A big week for big checks. August 7, 2026 Want to keep track of the largest startup funding deals in 2026 with its curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week's top 10 announced funding rounds in the U.S. Check out last week's biggest funding deal roundup here. Startups raised funding rounds with a lot of zeroes at the end this week. Three companies - Hadrian, Base Power and Valar Atomics - secured financings of $1 billion or more. Additionally, a robust lineup of companies in sectors including AI, e-commerce, cybersecurity, biotech and even mining also announced sizable new rounds. 1. Hadrian, $1.37B, manufacturing: Hadrian, a developer of highly automated factories, raised $1.37 billion in Series D funding led by WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, JP Morgan Chase and Baillie Gifford. The financing sets a $7.87 billion valuation for the 6-year-old, Torrance, California-based company. 2. (tied) Base Power, $1B, energy storage: Austin-based Base Power, a developer of residential battery energy storage systems, secured $1 billion in Series D financing at a $13 billion post-money valuation. Ribbit Capital, Addition, Valor Equity Partners and JP Morgan Chase led the financing, which coincided with the launch of the company's Base Core home battery. 2. (tied) Valar Atomics, $1B, nuclear power: Valar Atomics, a developer of technology and infrastructure to deliver nuclear energy, closed on $1 billion in Series B funding led by Sequoia Capital. The El Segundo, California-based company also secured a $200 million credit facility led by Erebor and JP Morgan. 4. Lumilens, $700M, AI connectivity: Lumilens, developer of a connectivity platform for AI infrastructure, emerged from stealth and announced more than $700 million in new funding. Atreides Management, Bain Capital Ventures, Meritech Capital, Seligman Ventures and Spark Capital led the financing for the San Jose, California-based startup. 5. Whatnot, $545M, live shopping: Live shopping marketplace Whatnot bagged $545 million in Series G funding. The round reportedly set a $20 billion valuation for the Los Angeles-based company, with Iconiq Capital, Lightspeed Venture Partners and Avra as lead investors. 6. Mariana Minerals, $310M, critical minerals: Mariana Minerals, a software-focused developer of projects for supplying critical minerals, picked up $310 million in Series B financing led by Khosla Ventures. The 4-year-old company engineers, builds and operates mines and refineries using its software platform. 7. Volta, $300M, AI infrastructure: Volta, a developer of AI cloud infrastructure, emerged from stealth and said it raised a Series A at a $2.4 billion valuation, led by Azora, Andreessen Horowitz, Altimeter and Nvidia. 8. Horizon3, $250M, cybersecurity: San Francisco-based cybersecurity provider Horizon3, announced a $250 million Series E. NightDragon and New Enterprise Associates led the round, which set a valuation of more than $2 billion, triple the value set for its Series D last year. 9. LifeMine Therapeutics, $188M, biotech: Watertown, Massachusetts-based drug discovery startup LifeMine Therapeutics secured $188 million in Series E funding led by Milky Way Investments. The funding will go toward clinical development of its lead program and advance its pipeline of transplantation and immunology therapies. 10. HappyRobot, $150M, agentic AI: HappyRobot, developer of an agentic AI platform geared for enterprises in sectors including logistics, financial services, utilities and manufacturing, raised $150 million in Series C funding led by Prysm Capital and Eurazeo. Methodology. Mindstate Design Labs, Inc tracked the largest announced rounds in the Crunchbase database that were raised by U.S.-based companies for the period of Aug. 1-7. Although most announced rounds are represented in the database, there could be a small time lag as some rounds are reported late in the week.
CoreWeave secured a $650 million credit facility in March 2024 to expand its data centre footprint and purchase advanced Nvidia hardware. JPMorgan Chase led the financing, with participation from Blackstone and Magnetar Capital. The GPU-accelerated cloud infrastructure provider plans to use the non-dilutive capital to deploy high-density computing clusters across the United States. The funding allows CoreWeave to acquire expensive Nvidia GPUs without diluting existing shareholders' equity. This facility follows a $2.3 billion debt financing round CoreWeave closed in mid-2023, which used its Nvidia hardware fleet as collateral. The company plans to open multiple new data centres by the end of 2024 to meet growing enterprise demand for generative AI and machine learning compute power.
Hadrian, a defense manufacturer and factory builder, has raised $1.37 billion in Series D funding, valuing the company just below $8 billion. The round was led by JPMorganChase's Strategic Investment Group, with participation from WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, and Baillie Gifford. The company produces precision parts and offers factories-as-a-service for aerospace and defense markets, using AI, automation, and robotics alongside skilled workers. Hadrian operates nearly 3 million square feet across four sites. Chief executive Chris Power told Axios the funding reflects growing recognition of domestic manufacturing's importance. Hadrian supplies major defense contractors including Lockheed Martin and RTX, and will mass-produce submarine components for the US Navy in Alabama.