Financial Model Validation Analyst (Federal Credit)

Aalis Management Consulting

Washington, DC, USA

Published: 6/14/2022

Full Time

Job Description

Job DescriptionAalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, (IT) Financial Management, Program Management, and Logistics & Supply Chain Support. Visit us at www.aalismc.com

Title: Financial Model Validation Analyst (Federal Credit)
Client: Federal Agency
Location: Onsite - Washington, D.C.
Clearance: Public Trust or be able to obtain one
Security Clearance Statement: This position requires a government security clearance; the applicant must be a U.S. Citizen for consideration.
Number of Position(s): 1
Work Schedule: 8 am – 5 pm
Work Day: Monday – Friday

The Financial Model Validation Analyst plays a crucial role in supporting the integrity of the federal credit lifecycle. You will be responsible for the Independent Verification and Validation (IV&V) of complex credit subsidy models to ensure they operate as intended, are based on sound methodology, and comply with federal guidance, including the Federal Credit Reform Act (FCRA). This position is ideal for a detail-oriented individual with a foundation in financial modeling who is eager to apply their skills to impactful federal programs.

Core Responsibilities

Model Methodology Review: Evaluate the forecast methodology of credit models (e.g., loan cash flows, historical averages, econometric models) for statistical soundness and alignment with federal credit reform guidance (FCRA).
Model Input/Output Validation: Scrutinize input datasets for completeness and correctness. Independently run models to verify output results and identify discrepancies.
Model Operations Review: Validate model components built in Excel and SAS, confirming operational flow and error-free performance. Ensure proper data linkage and integration with systems like the Credit Subsidy Calculator (CSC).
Model Documentation Review: Assess the completeness, clarity, and accuracy of technical documentation, memoranda, and sensitivity analyses.
Reporting & Analysis: Develop clear findings, actionable recommendations, and risk assessments. Produce high-quality, final IV&V reports that meet strict quality standards for federal client delivery.

Required Qualifications

Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Data Science, or a related quantitative field.
1-3 years of professional experience in financial modeling, quantitative analysis, audit support, risk management, or a related field.
High proficiency in Microsoft Excel, including experience with advanced functions and VBA for automation and model building.
Experience with or a demonstrated ability to quickly learn and apply SAS (Statistical Analysis Software) for data analysis and running validation scripts.
A foundational understanding of, or strong interest in learning, federal credit principles, including the Federal Credit Reform Act (FCRA).
Exceptional analytical and problem-solving skills with a keen eye for detail to identify data inconsistencies and modeling errors.
Strong written communication skills, with the ability to draft structured, clear, and professional technical reports.

Preferred Qualifications

Direct experience supporting federal clients or programs (e.g., SBA, HUD, USDA, VA, Treasury).
Familiarity with the federal budget process and the roles of OMB and CBO.
Exposure to the Credit Subsidy Calculator (CSC) or similar federal financial systems.
Understanding of econometric modeling, loan performance analysis, or credit risk concepts.

Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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