quantitative analyst

Turing; Toronto; On-site; CAD 191,000 - 382,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Turing is seeking a Quantitative Finance Analyst to work with AI researchers on finance-focused modeling. Based in Toronto, you will apply stochastic calculus, derivatives pricing, and statistical arbitrage to evaluate and train AI systems.

Strong Python, R, or C++ skills and excellent written English are required. This freelancing assignment runs roughly 10–30 hours per week for about one month with potential extension.

Qualifications

• 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.

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

Python

R

C++

Stochastic calculus

Derivatives pricing

Statistical modeling

Algorithmic trading

English communication

Job description

Quantitative Finance Analyst

About Turing: Based in San Francisco, California, Turing is the world?s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role 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.

Bonuses (Not at All Necessary)

• 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.

Offer Details

• Commitment: Flexible, 10?30 hrs/week.
• Duration: ~1 month, with the possibility of extension based on performance and project needs.

Location and Employment Details

• Location Toronto, ON
• Work location On site
• Salary $ 100.00 to $ 200.00 HOUR hourly
• Terms of employment Full time
• Starts as soon as possible
• vacancies 1 vacancy