Remote Investment Banking Analyst ($100/hr) - 75404
Posted Today by Turing
£100 Per hour
Undetermined
Remote
United Kingdom
Summary: Turing is seeking Investment Banking professionals to enhance AI model performance by leveraging their expertise in M&A advisory, capital raising, and financial modeling. The role involves evaluating AI systems on investment banking topics and collaborating with researchers to develop training methods and benchmarks. No prior AI experience is required, making it an opportunity for finance experts to influence the future of AI in finance. The position offers a flexible, remote work environment with competitive compensation.
Key Responsibilities:
- Evaluate LLM models on investment banking topics such as M&A deal analysis, LBO modeling, and pitch book creation.
- Create rubrics to assess model capabilities on tasks like deal structuring, valuation, and due diligence assessments.
- Collaborate with AI researchers and finance experts to shape training methods, evaluation strategies, and benchmarks.
Key Skills:
- 2+ years of experience in Investment Banking (e.g., M&A advisory, ECM, DCM, leveraged finance, or restructuring).
- Strong grasp of financial modeling, deal structuring, valuation methodologies, and corporate finance principles.
- Excellent English written communication.
- CFA (Level I/II/III) or MBA in Finance (not necessary).
Salary (Rate): £100 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Finance
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 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 modeling, 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 modeling, deal structuring, valuation methodologies, and corporate finance principles. Excellent English written communication. Bonuses (Not at All Necessary) 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. Offer Details 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.