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Discrepancy Analyst Jobs in Virginia (NOW HIRING)

Performs discrepancy analyses between thirdparty compliance vendor liability reports and filed returns and prepares and files returns not supported by the vendor. * Maintains accounts receivable ...

Performs discrepancy analyses between third-party compliance vendor liability reports and filed returns and prepares and files returns not supported by the vendor. * Maintains accounts receivable ...

... discrepancy analyses, and remediation workflows to eliminate drift, validate baseline integrity, and sustain accuracy across Infrastructure-as-Code, Configuration-as-Code, hardened virtual machines ...

Rebate Analyst

Mechanicsville, VA ยท On-site

$75K/yr

Job Summary - Performs financial analyses including research and reconciliations; negotiates with ... Evaluates and responds to monthly rebate/chargeback discrepancy reports from trading partners.

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Discrepancy Analyst information

See Virginia salary details

$36.2K

$96.8K

$226.5K

How much do discrepancy analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for discrepancy analyst in Virginia is $96,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for a Discrepancy Analyst?

As a Discrepancy Analyst, your daily responsibilities often include reviewing transaction records, identifying inconsistencies between various data sources, and researching the root causes of discrepancies. You will regularly communicate with accounting, operations, and customer service teams to resolve errors and ensure all financial records are accurate and up to date. The role also involves documenting findings, preparing reports for management, and helping implement process improvements to minimize future discrepancies. This position is both detail-oriented and collaborative, offering valuable experience in financial operations and cross-departmental problem-solving.

What is a Discrepancy Analyst job?

A Discrepancy Analyst is responsible for identifying, investigating, and resolving discrepancies in financial transactions, inventory, or data records. They analyze discrepancies, communicate with relevant departments to determine root causes, and implement corrective actions. This role requires strong analytical skills, attention to detail, and proficiency in data management systems to ensure accurate reporting and compliance with company policies.

What jobs pay $2000 a day?

Discrepancy Analysts typically do not earn $2000 a day; such high daily rates are more common in specialized consulting, executive roles, or freelance positions in fields like finance, law, or technology. These roles often require advanced skills, certifications, or extensive experience and may involve project-based or contract work with high compensation. Most standard discrepancy analysis positions offer salaries significantly below this level.

What jobs pay $10,000 a month without a degree?

Discrepancy Analysts typically do not earn $10,000 a month without specialized experience or certifications. High-paying roles that can reach this level without a degree often include sales, real estate, or skilled trades, but they usually require strong skills, networking, or licensing. Most jobs paying this amount without a degree are in sales, entrepreneurship, or technical fields with on-the-job training.

What are the key skills and qualifications needed to thrive in the Discrepancy Analyst position, and why are they important?

To excel as a Discrepancy Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or data management. Familiarity with spreadsheet software (such as Microsoft Excel), ERP systems, and reconciliation tools is highly beneficial, with some employers preferring candidates with certifications like CPA or equivalent experience in financial analysis. Excellent problem-solving, communication, and organizational skills are essential to liaise with different departments and resolve issues efficiently. These abilities are crucial for accurately identifying and resolving discrepancies that impact financial accuracy and business operations.

What is a discrepancy analyst job description?

A discrepancy analyst is responsible for reviewing and investigating discrepancies in financial or inventory data to ensure accuracy and compliance. They analyze records, identify errors or inconsistencies, and collaborate with relevant departments to resolve issues, often using data management tools and requiring attention to detail. The role typically involves documentation, reporting, and adherence to company policies and procedures.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In finance, investment bankers and hedge fund managers often reach this level with bonuses and commissions, while certain technology and legal professionals may also achieve such compensation with experience and advanced skills.
What are the most commonly searched types of Discrepancy Analyst jobs in Virginia? The most popular types of Discrepancy Analyst jobs in Virginia are:
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Financial Business Analyst - capital markets

Financial Business Analyst - capital markets

RiskSpan

Tysons Corner, VA โ€ข On-site

Contractor

Posted 25 days ago


Key responsibilities

  • Act as the primary liaison between quantitative financial engineering teams and business stakeholders to coordinate updated model specifications and code fixes.

  • Analyze forecasting outputs and financial drivers to identify discrepancies and ensure consistency in critical risk metrics across disparate models.

  • Design and manage functional test cases, testing documentation, and presentations for executive stakeholders regarding hedging initiatives and model alignment.


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 includingprepayment, 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 likecohort 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 ofFixed Income, Asset-Liability Management (ALM), Mortgage-Backed Securities (MBS), and Capital Forecasting.
  • Functional Concepts:Familiarity with financial risk concepts such asDuration, 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).
Employment Type: Contractor