AlpInvest Forward Deployed Engineer

Position Summary

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and CoInvestments.

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.

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.

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 $190,000 to $220,000.

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.

Who We Are

When people, ideas, and capital come together, opportunity expands across private markets. At Carlyle, this belief has shaped how we invest for decades, fueling growth for companies and delivering performance for investors.

Visit our website to learn more about our firm and the ways our platform is shaping private markets.