Financial Business Analyst - capital markets

RiskSpan RiskSpan 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.

Position Overview Title:

Financial Business Analyst (Functional / Non-Technical)

Division:

Corporate Finance / Asset & Liability Management (ALM) &

Capital Forecasting Project:

Next-Gen Forecasting Optimization & Model Integration Core Responsibilities 1.

Requirement Gathering & Cross-Functional Coordination 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. 2.

Model Validation & Discrepancy Analysis Investigate Discrepancies:

Analyze counterintuitive 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 . 3.

Testing Coordination & UAT Governance 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. 4.

Executive Reporting & Stakeholder Presentation 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.

Required Qualifications 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 .

Functional Concepts:

Familiarity with financial risk concepts such as Duration, Convexity, Multipath Stochastic runs, and Hedging .

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).