[Hiring] Quantitative Finance Analyst @Turing

Role Description

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

• Evaluate LLM models on quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification.
• Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and backtesting methodologies.
• Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Qualifications

• 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modeling).
• Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory, and programming languages such as Python, R, or C++.
• Excellent written English communication.

Requirements

• Bonuses (Not at All Necessary): CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.

Benefits

• Work on the cutting edge of AI and finance.
• Fully remote and flexible work environment.
• Competitive hourly compensation of ~$100+/hour depending on experience.

Offer Details

• Commitment: Flexible, 10–30 hrs/week.
• Duration: ~1 month, with the possibility of extension based on performance and project needs.