Remote Quantitative Finance Analyst
Role Overview
Quantitative finance professionals work with researchers to improve AI model performance.
The work applies quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems.
Prior AI experience is not required.
Key Skills for This Role
Full Job Posting
About Turing
Turing describes itself as a research accelerator for frontier AI labs and a partner to enterprises deploying advanced AI systems.
Its work includes research data and training pipelines, and helping enterprises develop reliable AI systems.
Role Overview
Quantitative finance professionals work with researchers to improve AI model performance.
The work applies quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems.
Prior AI experience is not required.
Day-to-Day Work
- Evaluate LLMs on quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification.
- Create evaluation rubrics for options pricing, Monte Carlo simulation, factor-model construction, and backtesting.
- Collaborate with AI researchers and finance experts on training methods, evaluation strategies, and benchmarks.
Requirements
- At least 2 years of quantitative finance experience, such as quantitative trading, quantitative research, financial engineering, or risk modeling.
- Strong grasp of stochastic calculus, statistical modeling, and derivatives pricing theory.
- Programming ability in Python, R, or C++; these are alternatives.
- Excellent written English communication.
Optional Qualifications
- CFA, FRM, or CQF; a Ph.D. in a quantitative field; or an MBA in Finance are optional bonuses.
Work Arrangement
- The position is fully remote with a flexible work environment.
Compensation
- The description advertises hourly compensation of approximately $100 or more, depending on experience.
Commitment and Duration
- Flexible commitment of 10–30 hours per week.
- Approximately one month, with possible extension based on performance and project needs.
Application
- After applying, candidates receive a portal login link to complete their profile.
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