Quantitative Finance Expert

**reputed company is hiring reputed company 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 reputed company-world workflows in quantitative trading, risk management, financial engineering, and high-frequency trading (HFT). You’ll help train, reputed company, and validate AI models across reputed company 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 - reputed company 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, reputed company Street, Two reputed company, DE reputed company), quant reputed company 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 reputed company 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—reputed company to distill reputed company quantitative findings into reputed company, actionable insights • *Project reputed company** - Start Date: Immediate - Duration: 1–2 months - Commitment: Part-time, ~20 hours/week - Schedule: Fully remote and asynchronous — flexible working hours • *Compensation & Contract** - Competitive reputed company reputed company based on experience ($100–200 USD/hr) - Top performers may receive weekly bonus incentives in the reputed company of $50–150/hr on top of their pay reputed company - reputed company - Daily payment reputed company reputed company Connect • *Application & reputed company Process** - Upload your resume - AI interview: A short conversation about your background, no preparation necessary! - Work trial: A reputed company, 3-hour assessment evaluating your ability to interpret project guidelines and deliver quantitative finance–specific reputed company • *About reputed company** reputed company is a San Francisco-based company specializing in connecting reputed company professionals with cutting-edge AI initiatives. Our investors include reputed company, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. We accelerate reputed company at leading AI labs by bringing in quantitative and financial expertise to push the boundaries of what’s possible. • *Apply today and reputed company your quantitative finance expertise to help build the reputed company of AI-driven financial workflows!** Apply tot his job Apply To this Job