Senior Manager - Credit AI Platform

Inception
42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception
42.ai.

We are looking for a credit expert to serve as the Product SME for Alpha, our investment and credit AI product. You will translate how banks assess corporate and commercial borrowers into useful, repeatable product capabilities, shaping what Alpha needs to understand, how its workflows should behave and what good outputs look like.

You will partner with Product Managers, Designs, Engineering and Applied Science teams to turn banking knowledge into requirements, reference examples and quality standards. You will work directly with bank users to validate these choices. Your success will be measured by the usefulness, reliability and adoption of the product capabilities you help shape.

• Map how relationship managers, credit analysts, independent risk teams and approvers assess borrowers. Identify the information, handoffs and decisions involved in new lending, renewals and ongoing reviews.
• Translate credit assessment practices into product requirements covering business and financial risk, repayment capacity, facility purpose and structure, collateral, policy checks and approval rationale.
• Create reference workflows, annotated credit papers, question libraries and worked examples that help product and technical teams understand the reasoning behind bank requirements.
• Advise the Product Manager on valuable use cases, workflow gaps and domain dependencies. Contribute to prioritising capabilities that solve recurring bank needs and can be reused across customers.
• Define which templates, risk-rating inputs, financial definitions, policy thresholds and approval steps must be configurable for different banks, borrower segments and lending products.
• Work with Design, Science and Engineering on prototypes, user stories and acceptance criteria. Resolve domain questions during delivery and validate that features fit the way bank teams actually work.
• Specify the evidence and data to be retrieved, the questions it should surface and the structure of its outputs. Guide requirements for financial spreading, credit memo preparation, covenant review and monitoring alerts.
• Shape review, correction and escalation flows, with clear distinctions between source facts, calculations, assumptions and AI interpretation.
• Build representative test cases, reference answers and evaluation rubrics with Science. Assess credit reasoning, numerical accuracy, evidence completeness and usefulness; include missing information, conflicting sources and policy exceptions.
• Diagnose domain errors, document expected behaviour, agree quality thresholds and verify fixes and regressions before release.
• Translate bank governance needs into product behaviour, including permissions, confidentiality, traceable sources, calculation reproducibility, audit history and human approval, working with security, legal and risk.
• Lead domain discovery with bank users and design partners. Test assumptions about credit processes and distinguish common requirements from institution-specific preferences or policies.
• Design realistic pilot scenarios with the PM and customer teams. Assess workflow fit, analytical quality, time saved, review effort and user adoption; turn findings into actionable product feedback.
• Support demos, proposals and customer workshops with credible banking expertise.
• Maintain reusable domain guidance, workflow examples and product feedback for internal teams. Bring recurring customer questions and market developments into roadmap discussions with the PM.

• Typically 6+ years in bank credit, corporate or commercial lending, credit risk, or a closely related advisory or technology role, with substantial practical exposure to bank credit assessment and approval processes.
• Strong understanding of how banks assess creditworthiness: borrower and sector risk, financial statements, cash flow, leverage, liquidity, debt-service capacity, collateral and facility structure.
• Working knowledge of credit policies, risk ratings, credit papers, approval…