Finance H-1B Sponsorship Jobs in Washington DC
Washington DC's finance sector spans federal regulatory agencies, multinational banks, and government contractors, creating steady demand for skilled professionals. Major H-1B visa sponsors in the area include JPMorgan Chase, Capital One, Freddie Mac, and Fannie Mae. International finance professionals pursuing H-1B sponsorship will find DC among the more active markets on the East Coast.
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INTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ABOUT THE JOB
As a valued contributor to our Internal Audit Analytics and Modeling team, you will serve as a coach, mentor, and subject matter expert who advances product and initiative workstreams through analytical insight, product and change recommendations, and predictive modeling. You will apply deep expertise in advanced analytics, statistical modeling, machine learning, large-scale data processing, computational programming, and practical problem solving, while translating complex technical concepts for non-technical partners and stakeholders.
In this advisor role, you will partner across Audit, Technology, Enterprise AI, data science, and risk organizations to architect reusable capabilities on a unified platform. These capabilities will strengthen risk detection, continuous monitoring, evidence generation, and control risk insights reporting. You will also help shape the organization's strategy for applying analytics, modeling, AI, and data science to deliver data-driven insights and sound business judgment. Working with senior leadership, you will provide expert guidance on complex models and analytical tools in a well-governed manner and help advance business transformation and innovation.
THE IMPACT YOU WILL MAKE
The Internal Audit – Analytics and Modeling – Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
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Apply advanced analytics, statistical modeling, machine learning, and data science techniques to design, test, and validate audit solutions aligned with audit methodology and industry best practices.
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Translate complex mathematical, business, risk, and modeling logic into reusable workflows that strengthen audit assurance, continuous monitoring, timely risk detection, and evidence generation at scale.
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Collaborate with Audit, Technology, Enterprise AI, data science, risk, and platform partners to build unified, reusable analytical and predictive capabilities supported by documentation and governance.
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Advise Audit executives, senior leadership, auditors, and business stakeholders by translating complex analysis into actionable insights, recommendations, and executive-ready presentations.
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Develop and guide emerging analytics, AI, modeling, and data science capabilities that solve complex business and technical problems and inform the team’s technical direction.
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Assess model effectiveness, fitness for use, performance, limitations, and drivers; ensure models are appropriately tested, monitored, and aligned with usage goals.
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Lead and coordinate cross-functional teams throughout the model management lifecycle, including prioritizing requirements, vetting adjustments, resolving findings, and escalating issues as needed.
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Stay current on industry best practices, regulatory requirements, and internal standards while supporting compliance and promoting a model risk management culture grounded in accountability, transparency, and proactivity.
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Represent the Analytics team in key internal, regulatory, and industry forums, sharing best practices and thought leadership in analytics and modeling across Fannie Mae’s business.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
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6 years of experience.
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3+ years of experience applying advanced analytics, machine learning, and statistical methods to deliver actionable insights and improve efficiency within Audit or Risk functions, with a strong understanding of audit analytics and assurance practices.
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Advanced proficiency in Python, data science, and machine learning techniques.
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Extensive experience developing advanced analytics solutions and workflows.
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Master's degree in Data Science, Math, Statistics, or Engineering or related field.
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Strong analytical skills to support testing, validation, and business decision-making.
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Excellent communication skills, including the ability to coordinate effectively between model developers and model users.
Desired Experiences
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PhD preferred in Data Science, Economics, Math, Statistics, or a related field, or comparable years of experience.
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Experience in Audit, Risk Management, and highly regulated industries.
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Experience with advanced analytical techniques such as regression, anomaly detection, outlier analyses, random forests, and machine learning algorithms.
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Strong technical writing, presentation, and stakeholder communication skills.
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Proven ability to manage relationships across cross-functional teams.
QUALIFICATIONS
Education: Master's Level Degree (Required)
LOCATION
LI-Remote
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.
Requisition compensation: 141000 to 184000
H-1B Finance Job Roles in Washington DC
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Search Finance Jobs in Washington DCFinance H-1B Sponsorship Jobs in Washington DC: Frequently Asked Questions
Which finance companies sponsor H-1B visas in Washington DC?
Major H-1B visa sponsors in DC's finance sector include Capital One, Freddie Mac, Fannie Mae, JPMorgan Chase, and Deloitte's financial advisory practice. Government-sponsored enterprises and large consulting firms with federal finance contracts are particularly active sponsors. Smaller asset managers and fintech firms in the area also file H-1B petitions, though sponsorship volume varies considerably by firm size and hiring cycle.
What types of finance roles typically qualify for H-1B sponsorship in Washington DC?
Roles that typically qualify are those requiring a bachelor's degree or higher in a specific field such as financial analysis, risk management, quantitative modeling, compliance, and investment management. Positions like financial analyst, credit risk analyst, regulatory compliance officer, and data-driven roles within banking meet the specialty occupation standard. General administrative or sales-focused finance roles are less likely to qualify without a clear degree-to-job field connection.
How do I find finance H-1B sponsorship jobs in Washington DC?
Migrate Mate is built specifically for this search, aggregating finance H-1B sponsorship jobs in Washington DC so you can filter by visa type and industry without sifting through listings that don't sponsor. Rather than guessing which employers file H-1B petitions, Migrate Mate surfaces roles from verified sponsoring employers in DC's finance sector, covering positions at banks, government-sponsored enterprises, consulting firms, and financial regulators.
Which parts of Washington DC have the most finance H-1B sponsorship jobs?
Most finance H-1B activity concentrates in downtown DC near K Street and the Penn Quarter, where financial consulting firms and lobbying-adjacent finance practices are clustered. The broader metro area extends this further, with Tysons Corner in Virginia hosting Capital One's headquarters and significant banking operations, and Bethesda, Maryland anchoring financial services and government contracting roles that draw heavy H-1B sponsorship.
Are there any DC-specific considerations for H-1B sponsorship in finance?
DC's finance sector is heavily intertwined with federal government and regulatory work, meaning many employers are government contractors subject to additional compliance requirements. Some federal contractor roles may require security clearances, which can complicate or restrict H-1B sponsorship for certain positions. Separately, DC's concentration of regulatory agencies like the SEC, FDIC, and Federal Reserve means compliance and risk roles see consistent demand from private firms seeking professionals familiar with that regulatory environment.
What is the prevailing wage for H-1B finance jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.