Note: The job is a remote job and is open to candidates in USA. Turing is a research accelerator for frontier AI labs and a partner for enterprises deploying advanced AI systems. The Quantitative Finance Analyst will work with researchers to evaluate and train AI models using quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering expertise. The role includes developing evaluation rubrics and collaborating on training methods, evaluation strategies, and benchmarks.
Responsibilities
- 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
Skills
- 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
- 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.
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