Investment Analyst Jobs in USA with Visa Sponsorship
Investment analyst roles on both the buy side and sell side are regularly sponsored by major banks, hedge funds, and asset management firms in the US. The specialized quantitative and financial modeling skills required for these positions align well with H-1B visa specialty occupation criteria, and competitive compensation packages make prevailing wage requirements straightforward to meet. The CFA credential is widely recognized in the industry and provides strong supporting evidence for visa petitions. For detailed occupation requirements, see the O*NET profile.
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Charleston - 997 Morrison Drive, Suite 402
Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry—we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
Position Summary
The Director of Investment Research is responsible for independently scoping, executing, and delivering investment-grade research that translates complex demographic, macroeconomic, and market data into specific, actionable capital deployment opportunities. This research forms the foundation for the analytics and decision-support tools that enable the organization to make faster, smarter, and more informed decisions, primarily supporting investment decisions but also operational workflows. This role defines the requirements for those tools and partners with data science and engineering colleagues to bring them to life. The role will partner closely with Investments, Asset Management, Finance, Revenue Management, and Executive Leadership, in particular the CEO and CIO of Maymont.
The ideal candidate combines strong quantitative and research capability with financial and strategic thinking. This individual is equally comfortable making sense of complex and ambiguous data, analyzing investment opportunities, evaluating housing markets, applying mid-level econometrics, and presenting crisp analytical insights to executive leadership. They are technically fluent enough to collaborate credibly with data science and engineering teams and to program-manage analytical work without needing to serve as the engineering lead. Success in this role requires curiosity, business acumen, and the ability to transform complex data into actionable investment recommendations.
More specifically, the candidate has the intellectual range to receive a thesis-level research question, such as “where should we be investing given the silver tsunami demographic shift?” and return within roughly two weeks with substantial progress on that question, potentially a geospatial analysis, an emerging investment thesis, and/or a recommended MVP approach, delivered as a decision-ready briefing. Once the approach is reviewed and approved by leadership, this person would advance it further by prototyping in AI-assisted tools such as Claude Code and then scope and build alongside our data science and engineering teams.
Essential Job Functions
- Own a self-managed research roadmap driven by senior executive priorities, conducting independent deep-dive research sprints (typically 1-3 weeks) that deliver investment-grade analysis spanning full U.S. Housing platform: single-family rental, build-to-rent, senior housing, affordable housing, manufactured housing, and market-rate multifamily.
- Define the requirements for dynamic tools within our proprietary analytics application, for example, specifying how a geospatial demographic analysis should become an interactive heat map that enables platform-level investment decisions, and partner with the data science and engineering teams that build them. Set the standard for what good looks like and program-manage the effort to delivery.
- Build working MVPs and prototypes leveraging AI-assisted development tools such as Claude Code and working proficiency in Python that validate an approach and can be handed off to the engineering team to harden and productionize.
- Analyze housing market trends, demographic shifts, competitive positioning, and macroeconomic factors impacting investment performance.
- Respond to ad hoc analytical requests from leadership with fast, rigorous turnarounds. For example, identifying markets/areas that should out-perform by identifying demographic shifts to product types, and then packaging the findings into succinct, actionable, decision-ready output.
- Translate complex analytical findings into concise recommendations for executive leadership and investment teams.
- Partner with Data Engineering to ensure the analytical datasets the role relies on are reliable and trusted.
- Evaluate emerging techniques and external data sources to continuously improve the organization's analytical capabilities and the quality of its investment research.
- Perform other duties as assigned to support business objectives.
Performance Expectations & Key Metrics:
- Decision Support: Develop analytical frameworks that improve market analysis, portfolio optimization, and overall investment performance.
- Strategic Analysis: Identify emerging opportunities and risks through advanced analytics, econometrics, and quantitative research.
- Research Impact: Deliver platform-spanning investment research that directly informs capital deployment decisions measured by speed of thesis-to-recommendation cycle (target: 2 weeks for a defined research question), quality of cross-platform opportunity identification, and the degree to which research outputs inform funded investments and approved decisions.
- Analytical Innovation: Leverage AI and emerging tools to accelerate research, sharpen analytical rigor, and improve organizational efficiency.
- Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all research and analyses.
Required Qualifications
Education
- Bachelor's or master's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
Experience
- Minimum of 6-8 years of experience in quantitative research, investment analytics, or applied economic/market analysis, with demonstrated investment-side experience (investment committee exposure, memo writing, or capital deployment decisions preferred).
Skills & Competencies
- Strong problem-solving skills and attention to detail.
- Demonstrated ability to influence strategic business decisions through analytical insights.
- Excellent communication, collaboration, and presentation skills with both technical and executive stakeholders.
- Quantitative & Statistical Analysis: Strong command of statistical modeling, econometrics, forecasting, regression, clustering, and predictive analytics, with a working understanding of the model development lifecycle sufficient to scope and evaluate the work of technical teams.
- Investment & Financial Analysis: Experience evaluating investment opportunities through quantitative analysis, financial modeling, forecasting, scenario analysis, and portfolio performance measurement.
- Real Estate Analytics: Experience analyzing housing markets, rental pricing, acquisition underwriting, portfolio optimization, demographic trends, geospatial data, competitive intelligence, and macroeconomic indicators affecting residential real estate investments.
- Data Fluency: Working proficiency in SQL and Python for data analysis (e.g., pandas), sufficient to independently explore data and analyses and to communicate precisely with the data science and engineering teams.
- Artificial Intelligence: Experience leveraging Generative AI and modern AI tools to accelerate research, generate market intelligence, and improve analytical efficiency.
- Strategic Thinking: Ability to frame ambiguous business problems, develop analytical approaches, and translate findings into strategic recommendations.
- Communication: Ability to distill complex analysis into succinct, decision-ready briefings and slides for technical and non-technical audiences, including executive leadership.
Preferred Qualifications
- Master's degree or PhD in Data Science, Statistics, Economics, Finance, Operations Research, or MBA with a quantitative focus.
- Experience within real estate, private equity, investment management, asset management, or financial services.
- Experience developing predictive pricing, forecasting, or optimization analyses, and working with technical teams to put them to use.
- Experience utilizing geospatial analytics and external market data sources.
- Familiarity with modern AI platforms and cloud-based analytics environments.
Why work for Maymont Homes?
Our Mission - "We Positively Impact the Lives in the Communities We Serve." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information.
Location
Charleston - 997 Morrison Drive, Suite 402
Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry—we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
Position Summary
The Director of Investment Research is responsible for independently scoping, executing, and delivering investment-grade research that translates complex demographic, macroeconomic, and market data into specific, actionable capital deployment opportunities. This research forms the foundation for the analytics and decision-support tools that enable the organization to make faster, smarter, and more informed decisions, primarily supporting investment decisions but also operational workflows. This role defines the requirements for those tools and partners with data science and engineering colleagues to bring them to life. The role will partner closely with Investments, Asset Management, Finance, Revenue Management, and Executive Leadership, in particular the CEO and CIO of Maymont.
The ideal candidate combines strong quantitative and research capability with financial and strategic thinking. This individual is equally comfortable making sense of complex and ambiguous data, analyzing investment opportunities, evaluating housing markets, applying mid-level econometrics, and presenting crisp analytical insights to executive leadership. They are technically fluent enough to collaborate credibly with data science and engineering teams and to program-manage analytical work without needing to serve as the engineering lead. Success in this role requires curiosity, business acumen, and the ability to transform complex data into actionable investment recommendations.
More specifically, the candidate has the intellectual range to receive a thesis-level research question, such as “where should we be investing given the silver tsunami demographic shift?” and return within roughly two weeks with substantial progress on that question, potentially a geospatial analysis, an emerging investment thesis, and/or a recommended MVP approach, delivered as a decision-ready briefing. Once the approach is reviewed and approved by leadership, this person would advance it further by prototyping in AI-assisted tools such as Claude Code and then scope and build alongside our data science and engineering teams.
Essential Job Functions
- Own a self-managed research roadmap driven by senior executive priorities, conducting independent deep-dive research sprints (typically 1-3 weeks) that deliver investment-grade analysis spanning full U.S. Housing platform: single-family rental, build-to-rent, senior housing, affordable housing, manufactured housing, and market-rate multifamily.
- Define the requirements for dynamic tools within our proprietary analytics application, for example, specifying how a geospatial demographic analysis should become an interactive heat map that enables platform-level investment decisions, and partner with the data science and engineering teams that build them. Set the standard for what good looks like and program-manage the effort to delivery.
- Build working MVPs and prototypes leveraging AI-assisted development tools such as Claude Code and working proficiency in Python that validate an approach and can be handed off to the engineering team to harden and productionize.
- Analyze housing market trends, demographic shifts, competitive positioning, and macroeconomic factors impacting investment performance.
- Respond to ad hoc analytical requests from leadership with fast, rigorous turnarounds. For example, identifying markets/areas that should out-perform by identifying demographic shifts to product types, and then packaging the findings into succinct, actionable, decision-ready output.
- Translate complex analytical findings into concise recommendations for executive leadership and investment teams.
- Partner with Data Engineering to ensure the analytical datasets the role relies on are reliable and trusted.
- Evaluate emerging techniques and external data sources to continuously improve the organization's analytical capabilities and the quality of its investment research.
- Perform other duties as assigned to support business objectives.
Performance Expectations & Key Metrics:
- Decision Support: Develop analytical frameworks that improve market analysis, portfolio optimization, and overall investment performance.
- Strategic Analysis: Identify emerging opportunities and risks through advanced analytics, econometrics, and quantitative research.
- Research Impact: Deliver platform-spanning investment research that directly informs capital deployment decisions measured by speed of thesis-to-recommendation cycle (target: 2 weeks for a defined research question), quality of cross-platform opportunity identification, and the degree to which research outputs inform funded investments and approved decisions.
- Analytical Innovation: Leverage AI and emerging tools to accelerate research, sharpen analytical rigor, and improve organizational efficiency.
- Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all research and analyses.
Required Qualifications
Education
- Bachelor's or master's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
Experience
- Minimum of 6-8 years of experience in quantitative research, investment analytics, or applied economic/market analysis, with demonstrated investment-side experience (investment committee exposure, memo writing, or capital deployment decisions preferred).
Skills & Competencies
- Strong problem-solving skills and attention to detail.
- Demonstrated ability to influence strategic business decisions through analytical insights.
- Excellent communication, collaboration, and presentation skills with both technical and executive stakeholders.
- Quantitative & Statistical Analysis: Strong command of statistical modeling, econometrics, forecasting, regression, clustering, and predictive analytics, with a working understanding of the model development lifecycle sufficient to scope and evaluate the work of technical teams.
- Investment & Financial Analysis: Experience evaluating investment opportunities through quantitative analysis, financial modeling, forecasting, scenario analysis, and portfolio performance measurement.
- Real Estate Analytics: Experience analyzing housing markets, rental pricing, acquisition underwriting, portfolio optimization, demographic trends, geospatial data, competitive intelligence, and macroeconomic indicators affecting residential real estate investments.
- Data Fluency: Working proficiency in SQL and Python for data analysis (e.g., pandas), sufficient to independently explore data and analyses and to communicate precisely with the data science and engineering teams.
- Artificial Intelligence: Experience leveraging Generative AI and modern AI tools to accelerate research, generate market intelligence, and improve analytical efficiency.
- Strategic Thinking: Ability to frame ambiguous business problems, develop analytical approaches, and translate findings into strategic recommendations.
- Communication: Ability to distill complex analysis into succinct, decision-ready briefings and slides for technical and non-technical audiences, including executive leadership.
Preferred Qualifications
- Master's degree or PhD in Data Science, Statistics, Economics, Finance, Operations Research, or MBA with a quantitative focus.
- Experience within real estate, private equity, investment management, asset management, or financial services.
- Experience developing predictive pricing, forecasting, or optimization analyses, and working with technical teams to put them to use.
- Experience utilizing geospatial analytics and external market data sources.
- Familiarity with modern AI platforms and cloud-based analytics environments.
Why work for Maymont Homes?
Our Mission - "We Positively Impact the Lives in the Communities We Serve." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information.
See all 6,168+ Investment Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Investment Analyst roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an Investment Analyst
Begin your CFA journey before entering the job market
The CFA designation is near-essential for career growth in investment analysis and strengthens your H-1B petition. Even passing Level I signals commitment and specialized knowledge to both employers and USCIS.
Target established asset managers with sponsorship programs
BlackRock, Vanguard, Fidelity, and large pension funds have structured sponsorship processes for investment analysts. These firms hire regularly and their HR teams are familiar with visa timelines.
Check your degree's CIP code for STEM OPT eligibility
Degrees in financial engineering, applied mathematics, or quantitative economics may qualify for the 24-month STEM OPT extension. That gives you up to 3 years of work authorization instead of 12 months.
Prepare for post-hire licensing requirements
Roles at broker-dealers may require Series 7 and Series 63 licenses, which you can obtain after starting employment. Knowing this upfront helps you plan your timeline and set expectations with employers.
Prioritize large firms over boutique investment banks
Boutique shops may offer great experience but are often less familiar with sponsorship processes. Larger firms have dedicated immigration counsel and established filing procedures that reduce uncertainty.
Build deep sector expertise to stand out
Specializing in a specific sector - healthcare, energy, technology, or emerging markets - makes you harder to replace. That domain knowledge strengthens both your job candidacy and the employer's case for sponsorship.
Frequently Asked Questions
Does holding a CFA designation strengthen the visa case for investment analysts?
Yes. The CFA is one of the strongest professional credentials for supporting an investment analyst visa petition. It demonstrates mastery of a rigorous body of knowledge in investment analysis, portfolio management, and financial ethics through a globally recognized three-exam program. Immigration attorneys frequently cite the CFA as evidence of specialized expertise that distinguishes the role from general business positions. While not required for H-1B visa approval, the CFA can make the difference in borderline cases.
Are hedge funds and boutique firms as likely to sponsor as large investment banks?
Large investment banks sponsor more consistently and in higher volumes because they have dedicated immigration departments and standardized processes. Hedge funds and boutique firms sponsor more selectively but are often willing to invest in candidates with niche expertise in specific asset classes, quantitative strategies, or geographic markets. Compensation at hedge funds is often higher, which can make prevailing wage compliance straightforward. The smaller firm's willingness usually depends on how difficult the role is to fill domestically.
What prevailing wage levels typically apply to investment analyst roles?
Investment analyst compensation is typically well above prevailing wage thresholds, with most roles filing at Level 3 or Level 4 on the DOL wage scale. This is favorable for visa petitions because higher wage levels signal that the employer values the role appropriately and reduces USCIS scrutiny. Buy-side roles at hedge funds and asset managers tend to command the highest total compensation. Candidates should be cautious of any investment analyst position filed at Level 1, as this is uncommon for the field and may indicate petition risk.
Can investment analysts qualify for the O-1 visa?
Yes, though it requires demonstrating extraordinary ability in business. Portfolio managers or analysts with a documented track record of exceptional performance, published market research, high compensation relative to peers, or significant contributions to investment strategy can meet the O-1 visaA criteria. This pathway is more realistic for senior analysts and portfolio managers than entry-level positions. The O-1 bypasses the H-1B lottery and has no annual cap, making it valuable for experienced investment professionals.
How to find Investment Analyst jobs with visa sponsorship?
To find Investment Analyst jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus your search on investment banks, asset management firms, private equity companies, and financial services organizations that commonly sponsor H-1B, L-1 visa, and other work visas for finance professionals with analytical expertise.
Is buy-side or sell-side easier to get sponsored on?
Neither is categorically easier, but the dynamics differ. Sell-side institutions (investment banks, broker-dealers) sponsor in higher volumes through structured analyst programs, making the process more predictable. Buy-side firms (hedge funds, asset managers, private equity) sponsor selectively but may offer higher compensation and faster career progression. The best approach is to target firms with documented sponsorship histories. Both sides of the industry have well-established immigration processes at the major firms.
What is the prevailing wage requirement for sponsored Investment Analyst jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage", the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level. For example, a investment analyst in New York will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search Page.