Financial Business Analyst - capital markets

Risk Span

Risk Span is a leading source of analytics, modeling, data and risk management solutions for the Consumer and Institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk, and information technology domains.

• Title: Financial Business Analyst (Functional / Non-Technical)
• Division: Corporate Finance / Asset & Liability Management (ALM) & Capital Forecasting
• Project: Next-Gen Forecasting Optimization & Model Integration

• Bridge Tech Teams: Act as the primary liaison between quantitative financial engineering teams and business stakeholders (ALM desk).
• Coordinate Specifications: Document and coordinate updated model specifications and code fixes across multiple internal development groups.
• Document Methodologies: Draft comprehensive methodology documents outlining the business logic behind loan selection, parameter updates, and model changes.

• Investigate Discrepancies: Analyze counter intuitive forecasting outputs by tracking data through the execution lifecycle.
• Analyze Financial Drivers: Identify variance drivers across mortgage-specific behaviors including prepayment, default behavior, buy-up/buy-down fees, and Loan Loss Reserves (LLR).
• Benchmark Forecasts: Compare and align disparate forecasting models to ensure consistency in critical risk metrics like cohort prices, duration dollars, and convexity values
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• Define Test Cases: Design functional test cases to validate the quality of sampled model outputs against massive full-population runs (13+ million loans).
• Manage Testing Artifacts: Author and organize testing documentation, UAT signs-offs, and compliance artifacts required for management approval.
• Validate Under Stress: Review model execution outputs following simulated rate shocks and volatility shocks to ensure ALM hedging stability.

• Simplify Complex Data: Translate dense financial engineering data into clear, high-level presentations for senior leadership.
• Provide Status Updates: Deliver weekly status presentations to the ALM trading desk and upper management regarding hedging initiatives and model alignment.

• Education: Bachelor’s degree in Finance, Accounting, Economics, or a related business field.
• Experience: 3-5+ years acting as a Business Analyst within a mortgage banking, GSE (Freddie Mac/Fannie Mae), or fixed‑income environment.
• Domain Expertise: Solid foundational understanding of Fixed Income, Asset‑Liability Management (ALM), Mortgage‑Backed Securities (MBS), and Capital Forecasting
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• Functional Concepts: Familiarity with financial risk concepts such as Duration, Convexity, Multipath Stochastic runs, and Hedging
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• Analytical Tools: Advanced proficiency with MS Excel for functional data auditing. Comfort navigating data-heavy environments (understanding what Python/SQL scripts do, even if you are not writing the code yourself).