Senior Analyst, Risk Management Solutions and Integrations

Are you a practical problem solver who can connect finance, data, technology, and AI? Do you enjoy translating complex asset-liability management and hedging needs into reliable solutions? If so, we would like to hear from you. Solutions & Integration supports the dynamic business of managing market risks embedded in assets and liabilities. The team develops and supports solutions for ALM, Global Hedging, valuation, reporting, and data analysis, while exploring responsible ways to use AI to improve delivery, troubleshooting, and productivity. The ideal candidate combines strong financial services knowledge with business analysis, software development, data, and AI capabilities. The role requires sound judgment, a structured approach to problem solving, and the ability to work across business and technology teams to deliver practical, supportable solutions. **Position Responsibilities:** **Business Analysis and Solution Design** * Assess asset and liability data feeds, interpret their content and business meaning, and identify patterns that support downstream use. * Create and maintain mappings from position data to appropriate valuation models based on security attributes and approved model-use guidance. * Decompose complex business requirements into clear components that can be implemented by AI agents or IT partners. * Document workflows, data flows, calculations, controls, interfaces, user stories, and integration requirements. * Analyze structured and unstructured datasets to clarify business needs, investigate issues, and support solution design. * Collaborate with stakeholders across segments to clarify scope, priorities, requirements, and expected outcomes for analytics and solution initiatives. * Define metrics for reports, dashboards, and ad hoc analysis, and develop supporting data-flow diagrams. **AI Solution Development and Innovation** * Identify and assess practical AI opportunities across ALM application development, production support, analysis, testing, documentation, data investigation, issue resolution, and user productivity. * Prototype and implement AI agents that retrieve and analyze business data, enabling users to obtain results through natural-language interactions. * Design, build, test, and enhance AI-enabled applications, tools, agents, and POCs. * Apply business and technical judgment to determine when AI is appropriate and how its outputs should be validated and used. * Evaluate AI outputs for accuracy, relevance, consistency, latency, cost, and reliability, with appropriate validation, human review, fallback, and escalation controls. * Frame business problems clearly, use AI tools and agents to accelerate delivery, and validate outcomes with business partners. * Apply responsible AI practices covering privacy, security, access permissions, traceability, monitoring, and human accountability. **Application Development and Support** * Apply domain knowledge and software engineering practices to deve