Quantitative Risk Manager

MyFunded Futures•Dallas, TX

About The Position

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed. We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in. Explore our open roles below and see how you can help us shape the future of funded trading. Position Summary MyFundedFutures is searching for a Quantitative Risk Manager to take ownership of the firm’s risk modeling, trader analytics, and account performance forecasting. This is a high-impact, high-responsibility role at the core of our prop-firm operations. We are looking for someone who thrives in a data-driven, fast-moving, competitive trading environment and can build the systems that protect the firm while enabling scalable growth. As the Quantitative Risk Manager, you will design, implement, and refine the quantitative frameworks that determine trader viability, payout potential, account survival probability, and overall firm risk exposure. You’ll model everything—from individual trade patterns to portfolio-level risk—while identifying weaknesses, edge, and opportunity across thousands of trader decisions. This role is for someone who can think like a quant, operate like a risk manager, and execute like a strategist.

Requirements

Strong quantitative background (statistics, mathematics, finance, engineering, computer science, etc.).
Expertise in modeling, forecasting, or quantitative analysis—ideally in trading, fintech, or risk.
Advanced proficiency in Python (NumPy, pandas, SciPy), SQL, and data modeling tools.
Ability to work in a high-intensity, competitive environment where accuracy and speed matter.
A mindset geared toward continuous improvement, finding edge, and pressure-testing assumptions.

Nice To Haves

Experience with proprietary trading, futures, or derivatives markets is a plus.

Responsibilities

Develop predictive models for trader performance, account survival, and risk exposure.
Quantify success/failure probabilities across account types, evaluation stages, and live funded accounts.
Build risk metrics for trade behaviors, strategy patterns, and volatility sensitivity.
Create frameworks to score and evaluate traders based on historical and real-time behaviors.
Analyze trade-by-trade performance to identify edge, risk of ruin, high-risk traders, and outlier strategies.
Produce dashboards and reports that surface actionable insights for management.
Monitor aggregate risk across the firm and recommend adjustments to rules, scaling plans, and max exposure.
Model impact scenarios around payouts, aggressive traders, news events, and market regime shifts.
Collaborate closely with leadership to set data-driven risk policies.
Build or integrate quantitative tools that automate performance tracking, risk alerts, and model refresh cycles.
Leverage Python, R, SQL, or similar tools to streamline analysis and monitoring.