Commercial banking specialists test AI answers on business lending, real estate finance and treasury, and write rubrics for debt service and risk rating. The work suits people with two or more years in commercial credit or relationship roles.
About the role
Role Overview
Turing is looking for Commercial Banking professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in commercial credit analysis, business lending, treasury management, and relationship management to evaluate and train AI systems. If you enjoy solving complex problems in commercial 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 commercial banking topics such as commercial and industrial (C&I) lending, commercial real estate (CRE) finance, credit underwriting, and treasury management services.
- Create rubrics to assess model capabilities on tasks like global cash flow analysis, debt service coverage calculations, loan structuring, covenant design, and risk rating assignment.
- Collaborate with AI researchers and fellow banking experts to shape training methods, evaluation strategies, and benchmarks.
- Collaborate with AI researchers and fellow banking experts to shape training methods, evaluation strategies, and benchmarks.
- 2+ years of experience in Commercial Banking (e.g., commercial credit analyst, relationship manager, commercial underwriter, portfolio manager, or credit officer).
- Strong grasp of financial statement analysis, credit underwriting frameworks, loan documentation, and portfolio monitoring for small and middle-market businesses.
- Excellent English written communication.
- Excellent English written communication.
- CFA (Level I/II/III), RMA Credit Risk Certification (CRC), formal bank credit training program, or MBA in Finance.
- CFA (Level I/II/III), RMA Credit Risk Certification (CRC), formal bank credit training program, or MBA in Finance.
- Work on the cutting edge of AI and finance.
- Fully remote and flexible work environment.
- Competitive hourly compensation of ~$100+/hour depending on experience.
- 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.
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