Remote Investment Banking Analyst ($100/hr) - 75404

Turing

Toronto

Remote

CAD 191,000 - 287,000

Part time

14 days+
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Benefits offered by this job

Fully remote
Flexible schedule
Competitive hourly compensation
Possible extension

Job summary

Turing, based in San Francisco, is seeking Investment Banking professionals to work with researchers to improve AI models. You will apply expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems.

No prior AI experience is required. Day-to-day includes evaluating LLM models on M&A topics, building rubrics for deal structuring and valuation, and collaborating with researchers to shape training methods and benchmarks.

Qualifications

  • 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring).
  • Strong grasp of financial modelling, deal structuring, valuation methodologies, and corporate finance principles.

Responsibilities

  • Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation.
  • Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Skills

Investment Banking experience
Financial modeling
Deal structuring
Valuation methodologies
Corporate finance

Education

CFA Level I/II/III
MBA in Finance

Job description

Overview

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 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 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 Investment Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in M&A advisory, capital raising, financial modeling, and deal structuring to evaluate and train AI systems. If you enjoy solving complex problems in investment banking 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 investment banking topics such as M&A deal analysis, LBO modelling, accretion/dilution analysis, and pitch book creation.
  • Create rubrics to assess model capabilities on tasks like deal structuring, valuation (DCF, precedent transactions, comps), and due diligence assessments.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
Requirements
  • 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring).
  • Strong grasp of financial modelling, deal structuring, valuation methodologies, and corporate finance principles.
Bonuses
  • CFA (Level I/II/III) 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.
  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.

We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

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