Quantitative Finance Analyst for AI Model Evaluation

Role Overview

As a Quantitative Analyst, you will collaborate with researchers to enhance the performance of AI models within the finance sector. Your expertise in quantitative modeling, statistical analysis, algorithmic strategy development, and financial engineering will be pivotal in evaluating and training AI systems. This role offers an exciting opportunity to tackle complex quantitative problems and influence the future of AI in finance, with no prior AI experience required.

Key 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.

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 skills.

Bonuses (Not at All Necessary)

• CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.

Work Terms

• Commitment: Flexible, 10, 30 hours per week.
• Duration: Approximately 1 month, with the possibility of extension based on performance and project needs.

Compensation

• Competitive hourly compensation of ~$100+/hour depending on experience.

Eligibility

• This is a fully remote position, allowing for a flexible work environment.