Senior Manager - Credit AI Platform

About the Role
We are seeking a credit expert to serve as the Product Subject Matter Expert (SME) for Alpha, our investment and credit AI product. In this role, you will be responsible for translating how banks assess corporate and commercial borrowers into useful and repeatable product capabilities. You will shape Alpha's understanding, define workflows, and establish what constitutes good outputs. Your success will be measured by the usefulness, reliability, and adoption of the product capabilities you help to develop.

What You'll Own

• Map out the processes used by relationship managers, credit analysts, independent risk teams, and approvers in assessing borrowers, identifying key information, handoffs, and decision-making in areas such as new lending, renewals, and ongoing reviews.
• Translate credit assessment practices into product requirements that include 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 to aid product and technical teams in understanding banking requirements.
• Advise the Product Manager on valuable use cases, workflow gaps, and domain dependencies while contributing to prioritizing capabilities that address recurring bank needs and can be reused across customers.
• Define configurable components such as templates, risk-rating inputs, financial definitions, policy thresholds, and approval steps for different banks, borrower segments, and lending products.
• Collaborate with Design, Science, and Engineering teams on prototypes, user stories, and acceptance criteria. Validate that features align with actual workflows used by bank teams.
• Specify the necessary evidence and data to be retrieved, facilitating queries and defining output structures, including requirements for financial spreading, credit memo preparation, covenant review, and monitoring alerts.
• Shape review, correction, and escalation flows, ensuring clear distinctions between source facts, calculations, assumptions, and AI interpretation.
• Develop representative test cases, reference answers, and evaluation rubrics with the Science team to assess credit reasoning, numerical accuracy, evidence completeness, and usefulness, incorporating considerations for missing information, conflicting sources, and policy exceptions.
• Diagnose domain errors, document expected behavior, establish quality thresholds, and verify fixes and regressions prior to release.
• Translate bank governance requirements into product behavior, focusing on permissions, confidentiality, traceable sources, calculation reproducibility, audit history, and human approval in collaboration with security, legal, and risk teams.
• Lead domain discovery initiatives with bank users and design partners, testing assumptions about credit processes and differentiating common requirements from institution-specific preferences.
• Design realistic pilot scenarios, evaluating workflow fit, analytical quality, time savings, review effort, and user adoption, translating 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, bringing recurring customer questions and market developments into roadmap discussions with the Product Manager.

What We're Looking For

• Typically, 6+ years of experience 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 evaluate creditworthiness, including borrower and sector risk, financial statements, cash flow, leverage, liquidity, debt-service capacity, collateral, and facility structure.
• Knowledge of credit policies, risk ratings, credit papers, approval authorities, exceptions, renewals, and monitoring, along with the ability to explain variations across institutions and customer segments.
• Proven ability to translate specialist knowledge into requirements, process improvements, or reusable guidance, with clarity on both credit rationale and its implications for the product.
• Critical reviewing skills for financial models and credit analyses, identifying misleading assumptions or unsupported conclusions, and generating clear examples and quality criteria for technical teams.
• Comfort working iteratively with prototypes and AI-assisted tools, understanding how retrieval systems, citations, evaluations, and human review may affect AI product reliability.
• Excellent written communication, customer engagement, and cross-functional collaboration skills, with an ability to articulate complex credit concepts simply and resolve ambiguity through pragmatic recommendations.
• A bachelor’s degree in finance, economics, accounting, engineering, or related discipline or equivalent practical experience.

Nice To Have

• Experience as a product SME, domain consultant, or business analyst on a lending platform, credit workflow, risk system, or banking transformation initiative.
• Background in working with product and engineering teams on discovery, requirements, user testing, or launches; familiarity with AI evaluation or document intelligence is a plus.
• Knowledge of GCC banking practices, Islamic finance, or regional credit requirements; Arabic language skills and experience with bilingual financial documents are advantageous.
• CFA, FRM, or another relevant qualification, or comparable practical depth in banking and credit.

Apply your credit expertise to shape an AI product used by financial institutions, working closely with product builders, applied scientists, and bank practitioners.

What Working Here Offers

• Culture: An open, diverse, and inclusive environment with a global vision that fosters personal growth and encourages innovative, groundbreaking industry advancements.
• Career: Exceptional learning, development, and growth opportunities through structured training programs and cutting-edge projects.
• Rewards: A competitive remuneration package combined with a variety of benefits including healthcare, educational support, leave benefits, and more.

If you are a performance-driven, inquisitive individual who thrives in ambiguity, we would like to hear from you. If you are eager to explore opportunities to build meaningful collaborations and create unique customer-centered solutions, your passion for advancing in the AI space is a valuable asset.