Senior Data Finance Mortgage Analyst

Benefits : 401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Stratez Infotech is seeking to fill the Senior Data & Finance (Mortgage) Analyst position in Washington, DC. Stratez Infotech is a minority small business offering cutting-edge, data-driven technology solutions. We assist federal customers by delivering viable solutions for their ever-changing mission objectives with the right technology mix and an agile and lean mindset.

One of our clients in the DMV needs a Senior Data & Finance (Mortgage) Analyst for a contract position :

Position : Senior Data & Finance (Mortgage) Analyst

Location : DMV

Travel : None anticipated

Position Type : Contract

Work Type : Onsite 5 days

We are seeking a detail-oriented and results-driven professional to lead data analysis and financial operations within the mortgage domain. The Lead will be responsible for overseeing data-driven decision-making, ensuring compliance with financial regulations, managing mortgage portfolio analysis, and providing actionable insights to support business strategies. This role requires strong analytical, financial, and leadership skills to guide a team and collaborate across departments.

Key Responsibilities :

Lead mortgage-related data analysis to identify trends, risks, and opportunities in loan portfolios.

Develop, validate, and maintain financial models to support mortgage forecasting, pricing, and risk management.

Oversee data collection, cleaning, and interpretation to ensure accuracy and compliance with regulatory standards.

Partner with finance, risk, and operations teams to provide insights that improve decision-making and profitability.

Prepare and present dashboards, reports, and presentations for senior management and stakeholders.

Monitor key performance indicators (KPIs) for mortgage lending, servicing, and securitization.

Ensure compliance with financial, legal, and regulatory guidelines related to mortgages.

Lead and mentor a team of analysts, ensuring high-quality deliverables and continuous skill development.

Work with IT / Data Engineering teams to improve data pipelines and reporting automation.

Drive process improvements and implement best practices in mortgage financial analysis.

Required Qualifications :

Bachelor’s or Master’s degree in finance, Economics, Data Science, Business Analytics, or related field.

5+ years of experience in mortgage finance, data analysis, or financial modeling.

Strong knowledge of mortgage products, financial instruments, and regulatory frameworks.

Advanced proficiency in data analysis tools (Excel, SQL, Python / R, Power BI, Tableau).

Excellent financial modeling, forecasting, and risk analysis skills.

Strong communication and presentation skills with the ability to explain complex data to non-technical stakeholders.

Leadership experience in managing teams and cross-functional projects.

If you are interested in this position, please send me a copy of your latest resume at karen.khursheed@iquasar.com . Also, please let me know what time / number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not a right fit for you, please feel free to share this opportunity with your friends / networks or anyone you know who may be interested in this position. Thank you!

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Please don’t hesitate to contact me for any questions you may have. All employment is decided based on qualifications, merit, and business need.

Regards, Karen Khursheed Recruitment Specialist iQuasar, LLC Cleared Recruitment | Proposal Development | Technology Direct : (703) 986-3348 Main : (703) 962-6001 Ext. 559 karen.khursheed@iQuasar.com www.iQuasar.com Hours : 6 : 30 a.m. to 3 : 30 p.m. EST

iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion / belief, national, social, or ethnic origin, disability, gender / gender identity, marital / partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations.