Business Analyst (Finance)

About this role

Role Overview We are looking for Finance Experts with strong domain knowledge and analytical skills to collaborate with our researchers in improving the performance of AI models. This is a unique opportunity to apply your finance expertise across areas such as corporate finance, investment banking, accounting, FP&A, private equity, and consulting, while contributing to the advancement of AI systems. No prior AI experience is required. What You'll Do Day-to-Day Evaluate model outputs in finance-related tasks and identify gaps where models do not perform well. Develop rubrics and structured assessments for specialized areas (e.g., deal analysis, M&A assessments, investment scenarios). Collaborate with AI researchers and fellow finance experts to design training methods, evaluation strategies, and benchmarks. Requirements Experience: 2+ years in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting. Qualifications: CFA (Level I/II/III) cleared, or CA/CPA/MBA in Finance preferred. Candidates with relevant on-job experience and training will also be considered. Strong understanding of financial concepts (corporate finance, investment analysis, asset management, risk management, etc.) within your domain of expertise. Excellent written and verbal communication in English. Perks of Freelancing with Turing Work on the cutting edge of AI and finance. Fully remote, flexible work environment. Competitive hourly compensation. Gain exposure to advanced AI systems and insight into how they’re trained. Offer Details Commitment: Flexible, 10–30 hours per week. Duration: ~1 month, with potential extension based on performance and project needs. Employment Type: Contract (freelance; no medical/paid leave). Location: India. 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.