Risk Management Lead Jobs in USA with Visa Sponsorship
Risk Management Lead roles attract H-1B visa sponsorship from banks, insurance firms, and consulting groups hiring for specialty occupation work in risk analysis and compliance. Most employers require a bachelor's degree in finance, statistics, or a related quantitative field. For detailed occupation requirements, see the O*NET profile.
Find Risk Management Lead JobsOverview
Showing 5 of 6,916+ Risk Management Lead jobs
See all 6,916+ Risk Management Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Management Lead roles.
Get Access To All JobsAt Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
At Freddie Mac, you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation. Our internship and graduate programs provide opportunities to tackle complex challenges, contribute to strategic initiatives, and build valuable relationships with industry professionals.
As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply advanced analytical, technical, and quantitative skills to support risk management activities at one of the nation's largest financial institutions. You will gain hands-on experience working on real-world projects, collaborating across teams, and leveraging emerging technologies – including artificial intelligence and automation—to enhance risk management practices and business outcomes.
Our Impact:
Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a culture of accountability, innovation, and sound risk management.
Our quantitative teams leverage advanced analytics, data science, modeling, automation, and emerging technologies to support enterprise-wide decision-making and risk oversight. As AI and automation continue to transform the financial services industry, our teams play a critical role in helping Freddie Mac navigate evolving risks while identifying opportunities for efficiency.
Your Impact:
Project Support
As an intern, you will support projects that contribute to Enterprise Risk priorities, which may include:
- Execute quantitative and analytical projects while ensuring timely delivery, adherence to objectives, and effective management of project scope.
- Develop, evaluate, and utilize quantitative models and analytical tools to support assessment of market, credit, operational, and emerging risks.
- Collaborate with risk, business, and technology teams to solve complex problems and drive data-driven decision-making.
- Support model development, validation, monitoring, and evaluation activities across various risk disciplines.
- Apply programming, data analysis, and automation techniques to improve efficiency and enhance quantitative processes.
- Analyze large and complex datasets to identify trends, assess risk exposure, and support strategic initiatives.
- Partner with stakeholders across the organization and serve as a point of contact for project-related activities and information gathering.
- Contribute to initiatives involving AI, automation, cloud technologies, and advanced analytics.
- Support process improvement efforts, documentation, reporting, and governance activities.
Professional Development
Participation in the program will support your continued growth through targeted training, mentorship, and exposure to senior leadership. You will:
- Gain exposure to Freddie Mac's standards, processes, risk frameworks, and governance structures.
- Strengthen your quantitative, analytical, technical, and leadership capabilities.
- Build relationships across ERM and the broader Freddie Mac organization.
- Learn how quantitative risk management supports enterprise decision-making and business strategy.
- Develop a deeper understanding of AI applications, automation, and risk analytics within the financial services industry.
Qualifications
- Enrolled in a full-time graduate degree program in Data Analytics, Computer Science, Applied Mathematics, Statistics, Financial Engineering, Econometrics, Quantitative Finance, Artificial Intelligence, Machine Learning, Economics, or a related quantitative field.
- One to three years of professional work experience.
- Expected graduation date of December 2027 or May 2028.
Preferred Skills
- Strong programming experience in Python, Java, C++, SQL, or similar languages.
- Experience working with large datasets and performing complex quantitative analysis.
- Familiarity with cloud computing platforms and modern data technologies.
- Knowledge of AI, machine learning, automation, data validation, or advanced analytics techniques.
- Experience with financial modeling, risk modeling, econometrics, statistics, or related quantitative disciplines.
- Proficiency with Microsoft Office applications, including Excel and PowerPoint.
- Experience with Tableau, MicroStrategy, Power BI, or other data visualization tools is a plus.
- Exposure to banking, financial services, risk management, or consulting environments is beneficial.
Keys to Success in this Role:
- Strong critical-thinking and analytical problem-solving abilities.
- Curiosity and willingness to ask thoughtful questions to deepen business understanding.
- Excellent written, verbal, and interpersonal communication skills.
- Ability to collaborate effectively across teams and build strong professional relationships.
- Execution focus, personal accountability, and strong organizational skills.
- Ability to manage multiple priorities, deliver results, and maintain project focus under changing conditions.
- Adaptability and comfort working through ambiguity while developing innovative solutions.
- Interest in leveraging AI and automation to improve efficiency and business outcomes while understanding the limitations of emerging technologies.
- A proactive mindset and passion for continuous learning and improvement.
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $64,480 - $83,200. All interns positions are paid at an hourly rate, which can be found in the body of the job description.
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
At Freddie Mac, you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation. Our internship and graduate programs provide opportunities to tackle complex challenges, contribute to strategic initiatives, and build valuable relationships with industry professionals.
As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply advanced analytical, technical, and quantitative skills to support risk management activities at one of the nation's largest financial institutions. You will gain hands-on experience working on real-world projects, collaborating across teams, and leveraging emerging technologies – including artificial intelligence and automation—to enhance risk management practices and business outcomes.
Our Impact:
Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a culture of accountability, innovation, and sound risk management.
Our quantitative teams leverage advanced analytics, data science, modeling, automation, and emerging technologies to support enterprise-wide decision-making and risk oversight. As AI and automation continue to transform the financial services industry, our teams play a critical role in helping Freddie Mac navigate evolving risks while identifying opportunities for efficiency.
Your Impact:
Project Support
As an intern, you will support projects that contribute to Enterprise Risk priorities, which may include:
- Execute quantitative and analytical projects while ensuring timely delivery, adherence to objectives, and effective management of project scope.
- Develop, evaluate, and utilize quantitative models and analytical tools to support assessment of market, credit, operational, and emerging risks.
- Collaborate with risk, business, and technology teams to solve complex problems and drive data-driven decision-making.
- Support model development, validation, monitoring, and evaluation activities across various risk disciplines.
- Apply programming, data analysis, and automation techniques to improve efficiency and enhance quantitative processes.
- Analyze large and complex datasets to identify trends, assess risk exposure, and support strategic initiatives.
- Partner with stakeholders across the organization and serve as a point of contact for project-related activities and information gathering.
- Contribute to initiatives involving AI, automation, cloud technologies, and advanced analytics.
- Support process improvement efforts, documentation, reporting, and governance activities.
Professional Development
Participation in the program will support your continued growth through targeted training, mentorship, and exposure to senior leadership. You will:
- Gain exposure to Freddie Mac's standards, processes, risk frameworks, and governance structures.
- Strengthen your quantitative, analytical, technical, and leadership capabilities.
- Build relationships across ERM and the broader Freddie Mac organization.
- Learn how quantitative risk management supports enterprise decision-making and business strategy.
- Develop a deeper understanding of AI applications, automation, and risk analytics within the financial services industry.
Qualifications
- Enrolled in a full-time graduate degree program in Data Analytics, Computer Science, Applied Mathematics, Statistics, Financial Engineering, Econometrics, Quantitative Finance, Artificial Intelligence, Machine Learning, Economics, or a related quantitative field.
- One to three years of professional work experience.
- Expected graduation date of December 2027 or May 2028.
Preferred Skills
- Strong programming experience in Python, Java, C++, SQL, or similar languages.
- Experience working with large datasets and performing complex quantitative analysis.
- Familiarity with cloud computing platforms and modern data technologies.
- Knowledge of AI, machine learning, automation, data validation, or advanced analytics techniques.
- Experience with financial modeling, risk modeling, econometrics, statistics, or related quantitative disciplines.
- Proficiency with Microsoft Office applications, including Excel and PowerPoint.
- Experience with Tableau, MicroStrategy, Power BI, or other data visualization tools is a plus.
- Exposure to banking, financial services, risk management, or consulting environments is beneficial.
Keys to Success in this Role:
- Strong critical-thinking and analytical problem-solving abilities.
- Curiosity and willingness to ask thoughtful questions to deepen business understanding.
- Excellent written, verbal, and interpersonal communication skills.
- Ability to collaborate effectively across teams and build strong professional relationships.
- Execution focus, personal accountability, and strong organizational skills.
- Ability to manage multiple priorities, deliver results, and maintain project focus under changing conditions.
- Adaptability and comfort working through ambiguity while developing innovative solutions.
- Interest in leveraging AI and automation to improve efficiency and business outcomes while understanding the limitations of emerging technologies.
- A proactive mindset and passion for continuous learning and improvement.
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Non-Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $64,480 - $83,200. All interns positions are paid at an hourly rate, which can be found in the body of the job description.
See all 6,916+ Risk Management Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Management Lead roles.
Get Access To All JobsTips for Finding Risk Management Lead Jobs
Target financial services and insurance employers first
Banks, insurers, and asset managers file the most H-1B petitions for risk roles. These employers have established legal teams and repeat sponsorship experience, which makes the process faster and less likely to hit administrative delays.
Make sure your degree field aligns with the role
USCIS requires a direct relationship between your degree and the job. Finance, statistics, economics, or mathematics degrees typically satisfy the specialty occupation standard. A general business degree may require additional documentation to support the petition.
Expect your employer to file an LCA before anything else
Before sponsoring your H-1B, the employer must certify a Labor Condition Application with the Department of Labor. This confirms the offered position meets prevailing wage requirements for risk management work in your metro area.
Australian citizens should ask about the E-3 visa
The E-3 is available exclusively to Australian nationals and has no lottery, unlimited two-year renewals, and significantly less processing complexity than the H-1B. Risk Management Lead roles qualify as specialty occupations, making most candidates eligible.
Highlight quantitative credentials prominently in your application
Certifications like FRM, CFA, or PRM signal technical depth that strengthens both your candidacy and the H-1B specialty occupation argument. Employers sponsoring risk roles want evidence the position requires specialized knowledge, not generalist management skills.
Negotiate sponsorship terms before accepting an offer
Confirm whether the employer covers H-1B filing fees, legal costs, and premium processing before signing. Some firms pass attorney fees to employees, which affects your total compensation. Clarifying this upfront avoids surprises during the petition process.
Frequently Asked Questions
Can a Risk Management Lead role qualify for H-1B sponsorship?
Yes. Risk Management Lead positions typically qualify as specialty occupations because they require at least a bachelor's degree in a specific field such as finance, statistics, economics, or mathematics. USCIS evaluates whether the role requires theoretical and practical application of highly specialized knowledge, which most senior risk roles satisfy. Employers should document the degree requirement clearly in the job description and LCA filing.
What degree do I need for an employer to sponsor me in this role?
Most H-1B visa petitions for Risk Management Lead positions are supported by degrees in finance, statistics, actuarial science, economics, or mathematics. A general business administration degree alone may not be sufficient without supplementary documentation showing the role requires specialized knowledge. Advanced degrees or professional certifications like the FRM or CFA can strengthen a borderline case significantly.
How competitive is H-1B sponsorship for risk management professionals?
Financial services and insurance employers are among the most consistent H-1B sponsors for risk roles. The challenge is not employer willingness but the annual lottery, which selects roughly 25% of registrations. Australian citizens sidestep this entirely with the E-3 visa. If you're in either group, browsing open positions on Migrate Mate will show which employers are actively hiring with sponsorship available.
Does the E-3 visa work for Risk Management Lead jobs?
Yes, for Australian citizens. The E-3 visa requires a job offer, a certified Labor Condition Application, and proof that the role is a specialty occupation requiring a relevant bachelor's degree or higher. Risk management qualifies under that standard. The E-3 has no lottery, can be renewed indefinitely in two-year increments, and is processed at Australian consulates with typical appointment wait times of two to eight weeks depending on location.
What happens to my visa status if I switch employers mid-sponsorship?
For H-1B holders, portability rules under AC21 allow you to change employers after your I-140 has been approved for 180 days, provided the new role is in the same or similar occupational classification. For E-3 holders, you need to start fresh with the new employer by obtaining a new LCA and either filing an amended petition or attending a new consular interview. Neither path is automatic, so timing your transition carefully matters.
What is the prevailing wage requirement for sponsored Risk Management Lead jobs?
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.