Summary

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

1. High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.
2. Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.
3. Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.
4. Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.
5. Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.
6. Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.
7. Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

1. Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.
2. Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.
3. CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.
4. Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).
5. Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.
6. Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.
7. Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.
8. Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

1. Experience with exotic derivatives (correlation products, structured products).
2. Exposure to advanced volatility modeling and market microstructure.
3. Hands-on experience with numerical optimization and PDE solvers.
4. Prior experience in Crypto, HFT, or low-latency trading environments.
5. Familiarity with frontend tools (React) for building internal trading and risk dashboards.

Skills

• Analytical Thinking
• Communications Skills
• Cryptocurrency
• Development
• Java
• Risk Analysis
• Rust
• Software Engineering
• Team Collaboration