Investment Management H-1B1 Singapore Sponsorship Jobs in Washington DC
Washington DC's investment management sector spans sovereign wealth advisors, policy-focused asset managers, and multilateral finance institutions, many with active H-1B1 Singapore sponsorship histories. Firms like BlackRock, Vanguard's DC-area offices, and government-adjacent investment consultancies regularly file Labor Condition Applications for Singaporean professionals in portfolio analysis, risk, and institutional advisory roles.
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Get Access To All JobsINTRODUCTION
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
ABOUT THE TEAM & ROLE
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!
As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
- Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
- Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
- Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
- Deploy, maintain and monitor models in production
- Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
BASIC QUALIFICATIONS
- You have 7+ years of experience in data science and credit modeling
- You have strong proficiency in SQL and Python for data analysis and modeling
- You have experience designing experiments and interpreting results to guide product decisions
- You have domain knowledge and expertise in traditional credit data. Experience with non-traditional credit data (such as cash flow) is a plus
- You communicate clearly with both technical and non-technical partners
PREFERRED QUALIFICATIONS
- Challenging, high-impact work to grow your career
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
- Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
COMPENSATION
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
- Base Pay Range
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000—$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000—$224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000—$199,000 USD
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
INTRODUCTION
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
ABOUT THE TEAM & ROLE
We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!
As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
- Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
- Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
- Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
- Deploy, maintain and monitor models in production
- Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
BASIC QUALIFICATIONS
- You have 7+ years of experience in data science and credit modeling
- You have strong proficiency in SQL and Python for data analysis and modeling
- You have experience designing experiments and interpreting results to guide product decisions
- You have domain knowledge and expertise in traditional credit data. Experience with non-traditional credit data (such as cash flow) is a plus
- You communicate clearly with both technical and non-technical partners
PREFERRED QUALIFICATIONS
- Challenging, high-impact work to grow your career
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
- Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
COMPENSATION
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
- Base Pay Range
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000—$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000—$224,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000—$199,000 USD
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
H-1B1 Singapore Investment Management Job Roles in Washington DC
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Search Investment Management Jobs in Washington DCInvestment Management H-1B1 Singapore Sponsorship Jobs in Washington DC: Frequently Asked Questions
Which investment management companies sponsor H-1B1 Singapore visas in Washington DC?
DC-area investment management employers with documented H-1B1 visa sponsorship activity include large asset managers, multilateral development bank affiliates, and policy-focused investment consultancies. Firms such as BlackRock, Carlyle Group, and Brookfield Asset Management have DC-area presences and file Labor Condition Applications for specialty occupation roles. Reviewing OFLC disclosure data by employer and occupation code gives the clearest picture of recent sponsorship history.
Which areas in Washington DC have the most investment management H-1B1 Singapore sponsorship jobs?
Most investment management H-1B1 Singapore roles in the DC metro area concentrate in downtown Washington DC, Bethesda and Chevy Chase in Maryland, and Tysons Corner in Northern Virginia. These corridors house sovereign advisory firms, private equity offices, and institutional asset managers. Bethesda in particular hosts several fund management and wealth advisory headquarters that regularly sponsor foreign nationals in analytical and portfolio roles.
What types of investment management roles typically qualify for H-1B1 Singapore sponsorship?
Roles that consistently qualify include portfolio analyst, investment research associate, risk management specialist, quantitative analyst, and institutional client advisor. These positions require at least a bachelor's degree in finance, economics, mathematics, or a directly related field, satisfying the H-1B1 visa specialty occupation standard. Generalist business roles without a specific degree requirement are less likely to qualify. O*NET occupation profiles can help confirm whether a specific job title meets the educational threshold.
How do I find investment management H-1B1 Singapore sponsorship jobs in Washington DC?
Migrate Mate filters investment management jobs by visa type and location, surfacing DC-area employers with verified H-1B1 visa Labor Condition Application filing history so you can focus on companies that have sponsored Singaporean professionals before. Searching by occupation code within the investment management category narrows results to roles like portfolio analyst and risk associate where H-1B1 qualification is most common across DC, Bethesda, and Tysons Corner employers.
Are there any Washington DC-specific or industry-specific considerations for H-1B1 Singapore sponsorship in investment management?
Washington DC's concentration of policy-linked investment entities, including multilateral institutions and government-affiliated funds, means some employers may operate under unique hiring frameworks that affect sponsorship eligibility. Additionally, investment management roles tied to regulated financial activities may require FINRA licensing, which Singaporean professionals should factor into timeline planning. The H-1B1 visa has no annual lottery and maintains a dedicated annual allocation for Singapore nationals, which distinguishes it from the standard H-1B visa process. USCIS and DOL prevailing wage requirements still apply in full.
What is the prevailing wage for H-1B1 Singapore investment management 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.