Remote Quantitative Finance Analyst

Turing•New York, NY

3d•Remote

About The Position

Turing is seeking quantitative finance professionals to work with researchers to improve AI model performance. The role applies expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. No prior AI experience is required. The work focuses on assessing large language models across quantitative finance topics and creating evaluation rubrics and benchmarks. The role is fully remote with flexible hours, for approximately 10–30 hours per week. The initial engagement is approximately one month, with possible extension depending on performance and project needs. Compensation is approximately $100 or more per hour, depending on experience.

Requirements

At least 2 years of experience in quantitative finance, such as quantitative trading, quantitative research, financial engineering, or risk modeling.
Strong grasp of stochastic calculus, statistical modeling, and derivatives pricing theory.
Proficiency in programming languages such as Python, R, or C++.
Excellent written English communication.

Nice To Haves

CFA, FRM, or CQF credential.
Ph.D. in a quantitative field.
MBA in Finance.

Responsibilities

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