Remote Finance Expert

turing

San Francisco (CA)

Hybrid

USD 138,000 - 207,000

Full time

2 days ago
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Benefits offered by this job

Fully remote
Flexible hours
Competitive hourly compensation

Job summary

Turing is seeking Experts in finance to collaborate with researchers to enhance AI model performance across capital markets, portfolio management, and related finance domains. This role requires 2+ years in finance and strong English communication.

Work fully remotely with flexible hours, approximately 10-30 hrs/week for around one month, with potential extension based on project needs. CFA/CA/MBA credentials are considered bonuses.

Qualifications

  • 2+ years experience in Capital Markets, Portfolio Management, Research, Trading, Quant, Investment Banking, Private Equity, Venture Capital, Growth Equity, FP&A, Accounting, Financial Consulting or any other Finance role experience.
  • Strong grasp of financial concepts (investment analysis, resarch, forecasting, revenue builds, corporate finance, asset management, risk management, etc.) based on your domain of expertise.
  • Excellent English written communication.

Responsibilities

  • Evaluate LLM models for areas of finance where models do not perform well.
  • Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more).
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Skills

Capital Markets
Portfolio Management
Research
Trading
Quant
Investment Banking
Private Equity
Venture Capital
Growth Equity
FP&A
Accounting
Financial Consulting

Education

CFA (Levels I-III)
MBA in Finance
CA/CPA

Job description

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 Experts in finance to work with our researchers to improve performance of AI models. We are looking for experts across a range of topics including capital markets, portfolio management, research, trading, quant, investment banking, private equity, corporate finance, accounting, and others. If you enjoy solving complex problems in finance and are interested in working with AI systems, please apply. No prior AI experience is required.

What does day-to-day look like:
  • Evaluate LLM models for areas of finance where models do not perform well.
  • Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more).
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
Requirements:
  • 2+ years experience in Capital Markets, Portfolio Management, Research, Trading, Quant, Investment Banking, Private Equity, Venture Capital, Growth Equity, FP&A, Accounting, Financial Consulting or any other Finance role experience.
  • Strong grasp of financial concepts (investment analysis, resarch, forecasting, revenue builds, corporate finance, asset management, risk management, etc.) based on your domain of expertise.
  • Excellent English written communication.
Bonuses (not at all necessary):

CFA (Level I/II/III) or CA/CPA/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.
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