Note: The job is a remote job and is open to candidates in USA. Turing is a leading research accelerator for frontier AI labs, seeking Quantitative Finance professionals to enhance AI model performance. The role involves evaluating and training AI systems through quantitative modeling, statistical analysis, and collaboration with researchers in the finance domain.
Responsibilities
- Evaluate LLM models on quantitative finance topics such as stochastic modelling, 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 back-testing methodologies
- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks
Skills
- 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling)
- Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory
- Excellent English written communication
- 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.
Company Overview
Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs. It was founded in 2018, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.turing.com.Company H1B Sponsorship
Turing has a track record of offering H1B sponsorships, with 1 in 2026, 16 in 2025, 8 in 2024, 7 in 2023, 16 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.