Financial Business Analyst - capital markets

RiskSpan•Tysons, VA

About The Position

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. This position is for a Financial Business Analyst (Functional / Non-Technical) within the Corporate Finance / Asset & Liability Management (ALM) & Capital Forecasting division, focusing on the Next-Gen Forecasting Optimization & Model Integration project.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, or a related business field.
3-5+ years acting as a Business Analyst within a mortgage banking, GSE (Freddie Mac/Fannie Mae), or fixed-income environment.
Solid foundational understanding of Fixed Income, Asset-Liability Management (ALM), Mortgage-Backed Securities (MBS), and Capital Forecasting.
Familiarity with financial risk concepts such as Duration, Convexity, Multipath Stochastic runs, and Hedging.
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).

Responsibilities

Act as the primary liaison between quantitative financial engineering teams and business stakeholders (ALM desk).
Document and coordinate updated model specifications and code fixes across multiple internal development groups.
Draft comprehensive methodology documents outlining the business logic behind loan selection, parameter updates, and model changes.
Analyze counterintuitive forecasting outputs by tracking data through the execution lifecycle.
Identify variance drivers across mortgage-specific behaviors including prepayment, default behavior, buy-up/buy-down fees, and Loan Loss Reserves (LLR).
Compare and align disparate forecasting models to ensure consistency in critical risk metrics like cohort prices, duration dollars, and convexity values.
Design functional test cases to validate the quality of sampled model outputs against massive full-population runs (13+ million loans).
Author and organize testing documentation, UAT signs-offs, and compliance artifacts required for management approval.
Review model execution outputs following simulated rate shocks and volatility shocks to ensure ALM hedging stability.
Translate dense financial engineering data into clear, high-level presentations for senior leadership.
Deliver weekly status presentations to the ALM trading desk and upper management regarding hedging initiatives and model alignment.