Investment Visa Sponsorship Jobs in South Carolina
South Carolina's investment sector spans financial services firms in Charlotte's extended metro, wealth management offices in Greenville and Columbia, and growing fintech operations tied to the state's expanding business corridor. Employers like Milliken, Nephros, and regional bank holding companies have sponsored H-1B visa and O-1 visas for investment analysts, portfolio managers, and financial research professionals.
Find Investment JobsOverview
Showing 5 of 44+ Investment Jobs in South Carolina with Visa Sponsorship
See all 44+ Investment Jobs in South Carolina with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Investment Jobs in South Carolina with Visa Sponsorship.
Get Access To All JobsLocation
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.
Investment Job Roles in South Carolina
See all 44+ Investment Jobs in South Carolina
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Investment Jobs in South CarolinaInvestment Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for investment roles in South Carolina?
Regional banks, asset management firms, and insurance companies headquartered in South Carolina have a documented history of H-1B sponsorship for investment professionals. Institutions such as South State Bank, First Reliance Bancshares, and the investment arms of larger insurers based in Columbia and Greenville regularly file Labor Condition Applications for roles including financial analysts, portfolio associates, and investment research specialists.
Which visa types are most common for investment roles in South Carolina?
The H-1B is the most frequently used visa for investment professionals in South Carolina, covering roles like financial analyst, investment analyst, and portfolio manager that qualify as specialty occupations requiring a relevant bachelor's degree or higher. The O-1A applies to candidates with extraordinary ability in finance or investment research. Candidates from Australia may pursue the E-3 visa, and Canadian or Mexican nationals may qualify under the TN visa in the economics or accountant categories.
Which cities in South Carolina have the most investment sponsorship jobs?
Columbia, as the state capital and home to several bank holding companies and financial institutions, sees the highest concentration of investment-related sponsorship activity. Greenville has grown significantly as a business hub with wealth management and private equity presence. Charleston's expanding professional services sector also generates demand for investment analysts, particularly within firms serving the region's growing real estate and corporate finance markets.
How to find investment visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically to show roles where employers have a verified history of visa sponsorship, making it far more efficient than browsing general job postings. For investment roles in South Carolina, you can narrow results by location and job category to surface analyst, portfolio, and financial research positions at firms that have previously filed H-1B or other work visa petitions with the Department of Labor.
Are there state-specific considerations for investment professionals seeking visa sponsorship in South Carolina?
South Carolina does not impose additional state-level licensing requirements specific to visa holders, but investment professionals in certain roles may need FINRA registrations such as the Series 65 or Series 7, which are federally administered. Prevailing wage requirements under the H-1B program apply based on the specific metropolitan statistical area, so roles in Columbia, Greenville, and Charleston are benchmarked to their respective regional wage data published by the Department of Labor.
What is the prevailing wage for sponsored investment jobs in South Carolina?
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.