Remote Investment Banking Specialist
Seattle, King County, Washington, 98127, USA
Listed on 2026-01-11
-
Finance & Banking
Financial Consultant, Corporate Finance
Remote Investment Banking Specialist - 42463
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Turing is seeking Finance Professionals with strong Investment Banking backgrounds to guide how frontier AI systems learn and reason about complex financial transactions. Your expertise in M&A, IPOs, and deal structuring will directly shape the way AI interprets and models high‑stakes corporate finance decisions.
This is a remote, highly flexible consulting role that pays $100/hr
. Work from anywhere, on your own schedule, while applying your IB experience to influence the next generation of AI‑driven capital markets analysis
. No AI experience required for this role.
- Review AI‑generated analyses of LBOs, IPO pricing, and M&A valuations
. - Evaluate model performance on live‑deal inspired case studies
. - Develop scoring rubrics and benchmarks that reflect real transaction dynamics
. - Collaborate with a global team of quant researchers, economists, and fellow IB specialists
.
- 2+ years of Investment Banking experience (M&A, IPOs, restructuring, or capital raising).
- Proven track record in deal modelling, valuations, or transaction advisory
. - Strong knowledge of corporate finance, risk, and capital structure.
- No AI experience required
- Preferred: CFA (any level), CA/CPA, or MBA in Finance.
- Engagement:
Advisory consulting (~10–30 hrs/week). - Location:
Fully remote — work anywhere, anytime
. - Duration:
Initial 1‑month pilot
, with potential for multi‑month projects. - Compensation: $100/hr+ consulting rate
.
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 software engineering, logical 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.
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