Quantitative Risk Analyst

Location:

Stamford, Connecticut, United States

Organization:
InCommodities North America

Final date to receive applications:
We’ll review applications on an ongoing basis, so don’t wait too long to send yours

At InCommodities, risk isn't a back-office exercise. It's a close partnership withthe Front Office, built on trust, strong models, and honest conversations. We're looking for a Quantitative Analyst to strengthen our risk capabilities in North American gas and power markets and help us rethink how quantitative risk supports trading decisions.

You'll work hands-on with traders, own critical models end to end, and help share how risk is measured, explained, and acted upon in fast-moving energy markets.

• You design, implement, and own market risk models, including VaR (parametric, historical, Monte Carlo), Expected Shortfall, stress testing, scenario analysis, and backtesting
• You build and maintain key risk drivers such as curves, volatility surfaces, correlations, and basis/spread risk
• You quantify non-linear and optionality risk for complex structures like storage, swing, tolling, and spark/dark spreads
• You develop scalable Python-based risk libraries used for daily reporting and intraday monitoring
• You integrate models into production risk systems, ensuring data quality, transparency, and auditability
• You improve performance and robustness of risk calculations where it matters

You’ll be part of the Risk team that works side by side with the Front Office. We don’t hide behind reports – we collaborate, challenge ideas, and build analytics that traders actually use. Expect direct access to decision-makers, fast feedback loops, and colleagues who value deep expertise, honest discussions, and shared ownership.

• You hold a quantitative degree in Applied Math, Statistics, Physics, Engineering, Computer Science, Quantitative Finance, or similar
• You bring around 7 years of experience in a quantitative risk role within commodities, energy, or capital markets
• You have strong knowledge of futures and options, with hands-on exposure to gas and power markets in North America
• You’ve worked with structured transactions such as storage, transport, PPAs, or similar energy assets
• You’re a strong Python user and build production-grade analytics using libraries like pandas, numpy, scipy, or similar
• You have experience developing risk systems and VaR frameworks end to end – from modeling to reporting
• You’re comfortable working with large datasets and data pipelines (SQL, APIs, market data)

• You take ownership and see models through from idea to production
• You explain complex risk concepts clearly to non-quants
• You challenge assumptions – including your own – to get to the right answer
• You care about quality, documentation, and model governance without slowing things down
• You collaborate openly across risk, trading, and tech

You’ll join with a steep learning curve supported by a thorough onboarding program that sets you up for success from day one. From there, you’ll enjoy a high level of autonomy, working alongside exceptional colleagues who are bold, honest, ambitious, and among the smartest in their fields. Our culture is unique—we live our values of Honesty, Transparency, and Rethink, and we do it without rigid hierarchies or dress codes.

Along the way, you’ll take part in great events, both within your team and across the organization, and you’ll have the chance to grow on both a professional and personal level.

We’re InCommodities North America – and we’re building the full energy trading value chain across US power and gas.

We’ve been trading power in US markets since 2020. Now we’re scaling up – expanding into gas, growing our local teams, and opening new offices across the US.

What sets us apart is our Energy Tech edge. We combine deep market expertise with advanced technology, quantitative models, and a data-driven mindset to trade smarter, faster, and t’s how we move energy where it’s needed, 24/7/365 – and why we attract ambitious people who want to rethink the future of energy…