Quantitative Finance Expert

**Mercor is hiring experienced Quantitative Finance professionals** to join an exciting collaboration with a top AI research lab. This role involves designing, evaluating, and stress-testing advanced AI systems that mimic real-world workflows in quantitative trading, risk management, financial engineering, and high-frequency trading (HFT). You’ll help train, calibrate, and validate AI models across complex domains such as derivatives pricing, portfolio optimization, market microstructure, and algorithmic execution. • *Key Responsibilities** - Evaluate outputs of AI-driven pricing, trading, and risk models for robustness, calibration, and accuracy - Design and test simulation frameworks for derivatives valuation, portfolio construction, and market scenarios - Audit AI-generated trading strategies, execution algorithms, and quantitative research outputs - Provide domain-specific feedback on model assumptions, performance metrics, and financial realism • *Ideal Qualifications** - 2+ years of experience in quantitative finance, trading, or financial engineering. This could include experience at top trading firms (e.g., Citadel, Jane Street, Two Sigma, DE Shaw), quant groups at investment banks, or asset managers with quantitative strategies - Advanced degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Financial Engineering, Quantitative Finance). A PhD or professional certifications (e.g., CFA, FRM) are a plus - Strong expertise in quantitative modeling and computational finance. Proficiency in derivatives pricing, stochastic calculus, risk-neutral valuation, and statistical arbitrage - Programming and data skills. Deep proficiency in Python, C++, or similar languages, along with strong experience in numerical libraries, time-series modeling, and high-performance computing - Market microstructure and trading knowledge. Familiarity with order book dynamics, algorithmic execution strategies, and risk management in high-frequency and systematic trading contexts - Excellent problem-solving, analytical, and communication skills—able to distill complex quantitative findings into clear, actionable insights • *Project Timeline** - Start Date: Immediate - Duration: 1–2 months - Commitment: Part-time, ~20 hours/week - Schedule: Fully remote and asynchronous — flexible working hours • *Compensation & Contract** - Competitive hourly rate based on experience ($100–200 USD/hr) - Top performers may receive weekly bonus incentives in the range of $50–150/hr on top of their pay rate - Independent contractor - Daily payment via Stripe Connect • *Application & Onboarding Process** - Upload your resume - AI interview: A short conversation about your background, no preparation necessary! - Work trial: A paid, 3-hour assessment evaluating your ability to interpret project guidelines and deliver quantitative finance–specific output • *About Mercor** Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We accelerate progress at leading AI labs by bringing in quantitative and financial expertise to push the boundaries of what’s possible. • *Apply today and leverage your quantitative finance expertise to help build the future of AI-driven financial workflows!** Apply tot his job