Vice President, Quantitative Researcher (AI/ML)

Location: Boston, United States; hybrid work arrangement with regular office attendance and up to 18 remote workdays per quarter subject to manager approval.

Base salary: $210,000–$280,000 annually, plus eligibility for a discretionary annual bonus and potential long-term reward programs.

Company

hirify.global is a global investment firm developing quantitative solutions for private-market investment decision-making and portfolio management.

What you will do

• Apply quantitative models to characterize market risk/return relationships, identify return drivers, and evaluate private-market investment opportunities.
• Generate quantitative insights for investment diligence, asset selection, portfolio construction, client engagements, and fundraising.
• Communicate analytical results and actionable insights to investment teams and other stakeholders.
• Lead a strategic research and development plan with investment team leadership.
• Incorporate new models and AI/ML techniques to enhance and scale the investment process.
• Support client-facing teams and publish research through ad-hoc quantitative analyses.

Requirements

• Strong foundation in quantitative equity research and systematic investment methodologies.
• Independent research experience, rigorous statistical analysis skills, and the ability to translate findings into actionable investment insights.
• Experience working with large, complex datasets and developing quantitative models for investment decision-making.
• Advanced programming skills in Python and SQL.
• Experience in asset management, hedge funds, proprietary trading firms, or similar investment environments.
• Exceptional analytical, communication, and problem-solving skills, including the ability to influence technical and investment stakeholders.
• Intellectual curiosity, strong ownership, and the ability to work in a collaborative, fast-paced environment with uneven and high-priority project work.
• Bachelor’s degree required, preferably in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, Finance, or a related quantitative discipline.
• 7–10+ years of relevant experience in quantitative research, quantitative investing, systematic investing, or related quantitative finance roles.

Nice to have

• Familiarity with machine learning and data science techniques.
• Exposure to private markets.
• Master’s degree or Ph.D. in a quantitative field.

Culture & Benefits

• Collaborative, collegial, open-door environment with a focus on diversity, inclusion, and mutual respect.
• Hybrid work arrangement with 18 remote workdays per quarter, subject to manager approval.
• Opportunities to build strengths and acquire new skills and experiences.
• Comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off, leave benefits, and well-being programs.
• Equal opportunity employment.