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Executive Discrepancy Analyst Jobs (NOW HIRING)

... Senior Executive Service leaders, and operational analysts. This role directs enterprise ... discrepancy analyses, and remediation workflows to eliminate drift, validate baseline integrity ...

... Executive team Monitors new agreement projects for set-up fee and monthly billing start up Work ... discrepancy report Prepares all monthly, pro-rated, and usage invoices Engages customer for payment ...

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

... executives, and engineers. You will enable all of them to get their data questions answered in a ... Serve as first responder for data discrepancy and freshness issues. * Translate business questions ...

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How much do executive discrepancy analyst jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for executive discrepancy analyst in the United States is $15.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $16.35 per hour, depending on experience, location, and employer.
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Financial Business Analyst - capital markets

Financial Business Analyst - capital markets

RiskSpan

Vienna, VA

Full-time

Posted 16 days ago


Job description

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).