Quantitative Finance Analyst
Job description
Overview
Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.What Does Day-to-Day Look Like:- 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.
Requirements
- 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.
- Perks of Freelancing with Turing:
- Work on the cutting edge of AI and finance.
- Fully remote and flexible work environment.
- Competitive hourly compensation of ~$100+/hour depending on experience.
- Commitment: Flexible, 10–30 hrs/week.
- Duration: ~1 month, with the possibility of extension based on performance and project needs.
Skills mentioned

Turing builds and deploys generative AI products and solutions for organizations managing complex data. Trusted by global commercial enterprises, we solve their human intelligence business challenges and amplify productivity. From research to real-world results, Turing bridges cutting-edge research with practical deployment, powering breakthroughs in AI reasoning, problem-solving, and coding capabilities. With expertise in data infrastructure, human-in-the-loop systems, and advanced model post-training, we ensure AI labs and enterprises stay at the forefront of innovation. Turing’s dual-unit approach advances your AGI progress, then applies those advancements to your real-world challenges—ensuring innovations are paired with practical implementation. Our model is built for code understanding, iterative debugging, and working with visual inputs and tools, making us a trusted partner for tech companies.
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