Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.
Commercial Banking — Expert AI Trainer
Location
Worldwide
Posted
74 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Commercial Banking — Expert AI Trainer
Aptura
Role Description This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI systems. - Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. - Systematically evaluate divergence between professional investment reasoning and AI outputs across corporate, SME, and retail banking. - Translate how commercial banks access clients, structure loans and credit facilities, manage balance sheet and risk into problems that push the limits of AI reasoning. - Build and validate real-world credit cases, client-coverage systems, and portfolio management frameworks used to evaluate frontier AI systems. Qualifications - 4+ years of experience at a major commercial bank (e.g. HSBC, BNP Paribas, Santander, Deutsche Bank, Barclays, UniCredit, Crédit Agricole, Standard Chartered, Emirates NBD, First National Bank). - Senior Credit/Risk Analyst, or Product Manager. - Deep expertise in corporate, SME, or retail banking, including credit analysis, lending products, and balance-sheet/risk management. - Experience conducting borrower and industry analysis, writing credit memos and client materials, and engaging directly with senior client stakeholders. - Familiarity with client reporting, portfolio and risk monitoring, and internal credit or risk-policy constraints. - Genuine intellectual curiosity about the application of AI in institutional banking and risk management. Requirements - Commitment: 15+ hours/week, flexible scheduling. - Location: Remote globally, or in person if based in London. - Compensation: Hourly rate depending on experience. - Start date: Immediate / Rolling.
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