Remote AI Finance Quant | Derivatives & Risk Modeling

Turing; San Francisco (CA); Hybrid; CAD 114,000 - 162,000; Part time

Benefits offered by this job

Fully remote and flexible work environment

Work on the cutting edge of AI and finance

Competitive compensation

Job summary

Turing is seeking Quantitative Finance professionals to enhance AI model performance by applying expertise in quantitative modeling and financial engineering. The work involves evaluating models on topics like stochastic modeling and derivatives pricing, collaborating with researchers, and developing evaluation methods. This flexible role allows for remote work and offers competitive hourly compensation starting at ~$100/hour. Commitment ranges from 10–30 hours per week, with the potential for extension based on project needs.

Qualifications

• 2+ years of experience in Quantitative Finance.
• Strong grasp of stochastic calculus and statistical modeling.

Responsibilities

• Evaluate LLM models on quantitative finance topics.
• Create rubrics to assess model capabilities.
• Collaborate with AI researchers and finance experts.

Skills

Quantitative modeling

Statistical analysis

Algorithmic strategy development

Financial engineering

Stochastic calculus

Statistical modeling

Derivatives pricing theory

Education

Bachelor's degree in quantitative field

Job description

Turing is seeking Quantitative Finance professionals to enhance AI model performance by applying expertise in quantitative modeling and financial engineering. The work involves evaluating models on topics like stochastic modeling and derivatives pricing, collaborating with researchers, and developing evaluation methods. This flexible role allows for remote work and offers competitive hourly compensation starting at ~$100/hour. Commitment ranges from 10–30 hours per week, with the potential for extension based on project needs.