Risk Systems & Strategy Deployment Manager

Role Summary

Responsibilities

• Own product requirements for credit risk systems, including the decision engine, customer limit management system, fraud system, and data platform.
• Deploy credit risk policies, scorecards, models, and business rules into the decision engine and model platform with accuracy and speed.
• Monitor strategy performance, approval rates, rejection reasons, error rates, and overall system stability.
• Maintain thorough documentation covering decision logic, rule versions, data fields, test results, and deployment records.
• Act as the key liaison between the Risk Strategy, Engineering, QA, Operations, and vendor teams — clarifying requirements, tracking delivery, and resolving production issues.
• Provide consultation and hands-on support to the Risk Strategy Team for strategy design, review, and implementation.
• Manage timelines and delivery milestones for system initiatives, ensuring cross-functional alignment throughout.
• Lead end-to-end delivery of risk system projects, from requirements gathering and scoping through to testing, deployment, and post-launch monitoring.
• Maintain project trackers, manage stakeholder communications, and surface risks and blockers proactively.
• Work within Agile frameworks using tools such as Jira and Confluence to manage sprints, backlogs, and documentation.
• Translate business and risk requirements into low-to-mid fidelity UI prototypes and wireframes to communicate expected system behaviour and interface design to engineering teams.
• Ensure that decision logic and workflow requirements are visualised clearly enough to reduce ambiguity during development and UAT.

Requirements

• Bachelor’s degree or above in Finance, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 3–6 years of relevant experience in banking, consumer finance, fintech, lending, credit cards, or similar financial services environments.
• Hands-on experience with decision engines, rule engines, credit decisioning platforms, or strategy management systems.
• Solid understanding of credit risk processes, including policy design, scorecard deployment, and lending lifecycle management.
• Strong SQL or Python skills for data analysis, querying, and workflow automation.
• Ability to write clear and structured requirements, test cases, deployment documents, and issue analysis reports.
• Demonstrated experience in project management, with the ability to manage multiple workstreams and stakeholders simultaneously.
• Familiarity with prototyping or wireframing tools to produce UI mockups and visualise system flows.
• Strong analytical thinking, attention to detail, and cross-functional communication skills.