Remote AI Finance Quant Analyst — Model Evaluation

Turing; United States; Remote; USD 124,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Competitive hourly pay

Job summary

Turing in San Francisco is seeking Quantitative Finance professionals to join researchers to evaluate and train AI models using quantitative finance techniques.

You will work on stochastic modeling, derivatives pricing, and risk assessment, collaborating with AI researchers; no prior AI experience required.

Ideal candidates have 2+ years in quantitative finance and strong programming in Python, R, or C++, with excellent English.

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 English written 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

Quantitative Finance

Stochastic Calculus

Statistical Modeling

Derivatives Pricing

Python

R

C++

English Proficiency

Tools

Python

R

C++

Job description

Turing in San Francisco is seeking Quantitative Finance professionals to join researchers to evaluate and train AI models using quantitative finance techniques.

You will work on stochastic modeling, derivatives pricing, and risk assessment, collaborating with AI researchers; no prior AI experience required.

Ideal candidates have 2+ years in quantitative finance and strong programming in Python, R, or C++, with excellent English.