The Carlyle Group Jobs Hiring Now
The Carlyle Group is hiring for 52 open roles on Migrate Mate as of July 16, 2026, concentrated in business analysis and accounting, with listed salaries up to about $400,000. Migrate Mate updates The Carlyle Group's live openings daily. The Carlyle Group is a global investment firm managing private equity, credit, and real assets across a range of institutional and individual investor strategies.
Find The Carlyle Group JobsOverview
The Carlyle Group hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 52
- Top team
- Business Analysis
- Seniority
- Mid to senior level
- Work type
- 50% remote or hybrid
- Top location
- Washington
- Salary range
- $70,000–$400,000
Listed salaries for The Carlyle Group roles on Migrate Mate range from about $70,000 to $400,000 per year across 52 open roles, as of July 16, 2026.
Open Roles at The Carlyle Group
Showing 25 of 52+ The Carlyle Group jobs
Basic information
Position Summary
Position Summary:
Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and Co-Investments.
This role sits at the intersection of investing, data science, artificial intelligence, and product development. The successful candidate will work alongside deal teams to develop analytical frameworks, generate proprietary investment insights, and build scalable products that enhance investment decision-making.
Unlike traditional data science roles, this position requires the ability to operate as both a technical expert and a strategic thought partner. The ideal candidate can move seamlessly between developing machine learning models and engaging with investment professionals on questions related to manager selection, fund evaluation, portfolio construction, investment pricing, and market intelligence.
This individual will help advance several strategic initiatives, including GP Scoring, OneDay Pricing, AI-powered diligence workflows, portfolio intelligence, and market signal generation.
Responsibilities
Primary Responsibilities
Investment Analytics & Decision Support
- Partner directly with investment professionals across Primaries, Secondaries, and Co-Investments to support live investment opportunities.
- Translate investment questions into analytical frameworks, models, and actionable insights.
- Conduct quantitative analyses to evaluate fund managers, investment strategies, portfolio performance, and market opportunities.
- Present findings and recommendations to investment teams and senior leadership.
Product & Model Development
- Develop and enhance proprietary GP Scoring methodologies used to evaluate private equity managers.
- Build scalable analytical products that integrate into AlpInvest's investment workflows.
- Design and deploy machine learning, statistical, and AI-driven solutions to improve investment decision-making.
- Contribute to the development of One-Day Pricing capabilities for LP interest transactions.
- Support the creation of market intelligence, portfolio monitoring, and company intelligence products.
AI & Data Science Innovation
- Develop and improve predictive models leveraging structured and unstructured investment datasets.
- Apply modern AI techniques, including LLMs, agent-based workflows, and retrieval systems, to investment research and diligence processes.
- Collaborate with engineering and product teams to productionize analytical capabilities.
- Identify opportunities to automate workflows and improve scalability across investment processes.
Stakeholder Engagement
- Build strong relationships with investment professionals and become a trusted advisor across business lines.
- Gather requirements, prioritize opportunities, and translate business needs into technical solutions.
- Communicate complex analytical concepts to both technical and non-technical audiences.
- Help drive adoption of data science products and insights throughout the organization.
Qualifications
Requirements
Education & Certificates
- Bachelor's degree or higher (MS, PhD, MBA, or equivalent), required
- Concentrations in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, or a related quantitative discipline, preferred.
Professional Experience
- 8+ years of overall relevant technical experience, required
- Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proved track record of success.
- Experience building and deploying production-grade analytical products and models.
- Demonstrated ability to work directly with senior business stakeholders and solve complex business problems.
- Experience operating in highly ambiguous environments and managing multiple priorities simultaneously.
- Strong programming skills in Python and experience with modern data science libraries and frameworks.
- Deep understanding of statistical modeling, machine learning, experimentation, and predictive analytics.
- Experience working with structured and unstructured datasets at scale.
- Familiarity with cloud-based analytics environments and modern data platforms.
- Experience applying generative AI, LLMs, or agent-based systems is strongly preferred.
- Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology.
- Familiarity with investment performance metrics, portfolio analytics, fund structures, or manager evaluation frameworks.
- Experience developing products that combine quantitative analysis with business decision-making.
Benefits/Compensation
The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $180,000 to $200,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments – Global Private Equity, Global Credit and Carlyle AlpInvest – and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.
Basic information
Position Summary
Position Summary:
Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and Co-Investments.
This role sits at the intersection of investing, data science, artificial intelligence, and product development. The successful candidate will work alongside deal teams to develop analytical frameworks, generate proprietary investment insights, and build scalable products that enhance investment decision-making.
Unlike traditional data science roles, this position requires the ability to operate as both a technical expert and a strategic thought partner. The ideal candidate can move seamlessly between developing machine learning models and engaging with investment professionals on questions related to manager selection, fund evaluation, portfolio construction, investment pricing, and market intelligence.
This individual will help advance several strategic initiatives, including GP Scoring, OneDay Pricing, AI-powered diligence workflows, portfolio intelligence, and market signal generation.
Responsibilities
Primary Responsibilities
Investment Analytics & Decision Support
- Partner directly with investment professionals across Primaries, Secondaries, and Co-Investments to support live investment opportunities.
- Translate investment questions into analytical frameworks, models, and actionable insights.
- Conduct quantitative analyses to evaluate fund managers, investment strategies, portfolio performance, and market opportunities.
- Present findings and recommendations to investment teams and senior leadership.
Product & Model Development
- Develop and enhance proprietary GP Scoring methodologies used to evaluate private equity managers.
- Build scalable analytical products that integrate into AlpInvest's investment workflows.
- Design and deploy machine learning, statistical, and AI-driven solutions to improve investment decision-making.
- Contribute to the development of One-Day Pricing capabilities for LP interest transactions.
- Support the creation of market intelligence, portfolio monitoring, and company intelligence products.
AI & Data Science Innovation
- Develop and improve predictive models leveraging structured and unstructured investment datasets.
- Apply modern AI techniques, including LLMs, agent-based workflows, and retrieval systems, to investment research and diligence processes.
- Collaborate with engineering and product teams to productionize analytical capabilities.
- Identify opportunities to automate workflows and improve scalability across investment processes.
Stakeholder Engagement
- Build strong relationships with investment professionals and become a trusted advisor across business lines.
- Gather requirements, prioritize opportunities, and translate business needs into technical solutions.
- Communicate complex analytical concepts to both technical and non-technical audiences.
- Help drive adoption of data science products and insights throughout the organization.
Qualifications
Requirements
Education & Certificates
- Bachelor's degree or higher (MS, PhD, MBA, or equivalent), required
- Concentrations in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, or a related quantitative discipline, preferred.
Professional Experience
- 8+ years of overall relevant technical experience, required
- Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proved track record of success.
- Experience building and deploying production-grade analytical products and models.
- Demonstrated ability to work directly with senior business stakeholders and solve complex business problems.
- Experience operating in highly ambiguous environments and managing multiple priorities simultaneously.
- Strong programming skills in Python and experience with modern data science libraries and frameworks.
- Deep understanding of statistical modeling, machine learning, experimentation, and predictive analytics.
- Experience working with structured and unstructured datasets at scale.
- Familiarity with cloud-based analytics environments and modern data platforms.
- Experience applying generative AI, LLMs, or agent-based systems is strongly preferred.
- Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology.
- Familiarity with investment performance metrics, portfolio analytics, fund structures, or manager evaluation frameworks.
- Experience developing products that combine quantitative analysis with business decision-making.
Benefits/Compensation
The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $180,000 to $200,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by The Carlyle Group.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments – Global Private Equity, Global Credit and Carlyle AlpInvest – and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.
Job Roles at The Carlyle Group
Working at The Carlyle Group
The Carlyle Group's 52 open roles are mid to senior level, and about 50% are remote or hybrid. The most active teams are business analysis, accounting, and account management. The Carlyle Group is a global alternative asset management firm with strategies spanning private equity, global credit, and real assets. Roles at Carlyle span investment analysis, data and AI engineering, finance operations, and corporate functions supporting its global portfolio. Most The Carlyle Group roles are based in Washington, with some in New York and Washington.
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Browse jobs by roleThe Carlyle Group Jobs: Frequently Asked Questions
How many jobs is The Carlyle Group hiring for right now?
The Carlyle Group is hiring for 52 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in business analysis and accounting. Openings span investment, technology, finance, and corporate functions across seniority levels, so the count shifts as roles are filled and new positions are added.
What kinds of roles does The Carlyle Group hire for?
The most active teams are business analysis, accounting, and account management. The Carlyle Group posts roles across investment analysis, data science and AI engineering, finance operations, valuations, and corporate communications. Most postings are mid to senior level, ranging from two-year analyst programs through vice president and manager positions supporting both investment and infrastructure teams.
Are The Carlyle Group jobs remote or in-person?
Mostly remote. About 50% of The Carlyle Group's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Washington. Each The Carlyle Group listing shows its work location so you can filter before applying.
How do I apply to a job at The Carlyle Group?
Find a The Carlyle Group role on Migrate Mate, then follow the listing directly to The Carlyle Group's own careers page to complete your application. Carlyle manages its own hiring process, so all submissions, interviews, and decisions are handled by their internal recruiting team.
What do The Carlyle Group jobs pay?
Listed salaries for The Carlyle Group roles on Migrate Mate range from about $70,000 to $400,000 per year as of July 16, 2026, with most postings at mid to senior level. Exact pay is set by The Carlyle Group and shown on each listing.
Does The Carlyle Group hire entry-level?
Most of The Carlyle Group's open roles on Migrate Mate are mid to senior level as of July 16, 2026. Entry-level openings are limited. Check individual The Carlyle Group listings for stated experience requirements.
Where is The Carlyle Group hiring?
Most The Carlyle Group roles are based in Washington, with some in New York and Washington, and about 50% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.