Vice President or Principal Quantitative Research Specialist

You will design and build statistical, analytic, and simulation-based models for private equity, private debt, and other illiquid assets. You will integrate and analyze complex datasets, produce proprietary research and client-ready materials, deploy analytics with technical partners, and manage multiple projects through delivery.

Responsibilities

• Design and build statistical models to evaluate alternative datasets, assess portfolio risk, and optimize investment strategies for illiquid assets
• Translate private markets data into actionable, client-ready insights
• Integrate, clean, and analyze large and complex datasets
• Identify value drivers, market behaviors, and trends that inform investment decisions
• Develop analytic models, scenario analyses, and Monte Carlo simulation frameworks for portfolio construction and investment processes
• Generate proprietary research, white papers, presentations, and other materials
• Partner with software developers, Data Management, IT, and model validation teams to deploy quantitative code and analytics
• Maintain and enhance analytic applications for marketing, client service, and investment-related use cases
• Develop solutions with technical and non-technical stakeholders
• Optimize data storage, access, and end-user use of data and analytics
• Manage workflows and projects, including dependencies, dates, milestones, and stakeholder inputs
• Prioritize and execute work independently while maintaining quality and timeliness

Requirements

• Advanced degree in Mathematics, Statistics, Computer Science, Finance, Economics, or a similar quantitative field
• Background in quantitative finance, financial engineering, or quantitative modeling
• 5–10 years of relevant quantitative experience within asset management
• At least 2 years of experience with private markets investment processes and portfolios
• Quantitative analysis, critical thinking, and problem-solving skills
• Experience with portfolio analytics, forecasting, and risk-management modeling techniques
• Proficiency in Python, R, SQL, and/or C++
• Experience with database and software platforms
• Understanding of accounting principles, portfolio theory, equity valuation, factor models, asset allocation, portfolio optimization, liquidity risk management, and performance measurement
• Ability to communicate technical methodologies as commercial, client-oriented insights
• Experience collaborating with technical and non-technical stakeholders
• Ability to manage priorities and drive projects from concept through execution

Benefits

• Medical, dental, and vision coverage
• 401(k) with immediate vesting and employer match
• Profit sharing
• Flexible spending accounts
• Paid parental leave, including adoption
• Paid time off
• Commuter benefits
• Employer-paid short- and long-term disability insurance
• Employer-paid life insurance
• Additional voluntary benefits