Quantitative Finance Analyst
About The Position
Turing is seeking quantitative finance professionals to collaborate with researchers in improving AI model performance. The role applies quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering expertise to evaluate and train AI systems. No prior AI experience is required. This is a flexible freelance engagement of approximately 10–30 hours per week for about one month, with possible extension based on performance and project needs. The role is fully remote and offers hourly compensation of approximately $100 or more, 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.
- Programming skills in languages such as Python, R, or C++.
- Excellent written English communication.
Nice To Haves
- CFA, FRM, or CQF qualification.
- Ph.D. in a quantitative field.
- MBA in Finance.
Responsibilities
- Evaluate large language models 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 finance experts to shape training methods, evaluation strategies, and benchmarks.
Benefits
- Fully remote and flexible work environment.
- Competitive hourly compensation of approximately $100 or more, depending on experience.
- Opportunity to work on the cutting edge of AI and finance.
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
Education Level
No Education Listed
