5 дней назад
Vice President, Quantitative Researcher, Infrastructure & Real Assets (AI/ML)
210 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President, Quantitative Researcher, Infrastructure & Real Assets (AI/ML) (Private Markets/Quantitative Finance): Developing quantitative models and statistical analysis for private infrastructure, real assets, and secondary investment opportunities with an accent on market risk/return relationships, return drivers, and investment decision-making. Focus on applying large proprietary datasets, integrating AI/ML techniques, and translating research into actionable insights for investment teams, client engagements, and fundraising.
Location: Boston, United States; hybrid work arrangement with regular office attendance. Up to 18 remote workdays are available per quarter with manager approval.
Base salary: $210,000–$280,000 USD per year, plus a discretionary annual bonus and potential long-term rewards.
Company
is a global investment firm focused on delivering solutions for clients and investing partners through private market strategies.
What you will do
- Apply quantitative models to analyze market risk/return relationships, return drivers, and private-market investment opportunities.
- Research private infrastructure, real assets, and secondary investment opportunities using large proprietary datasets and statistical models.
- Communicate quantitative results and actionable insights to investment stakeholders.
- Lead a strategic research and development plan with investment team leadership.
- Incorporate AI and machine learning techniques to enhance and scale the investment process.
- Support client-facing teams, fundraising activities, and publication of quantitative research.
Requirements
- 5–10+ years of experience in quantitative research, quantitative investing, systematic investing, or related quantitative finance roles.
- Strong foundation in quantitative equity research and systematic investment methodologies.
- Demonstrated ability to conduct independent research, apply rigorous statistical techniques, and 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.
- Bachelor’s degree in a quantitative discipline; a master’s degree or Ph.D. is strongly preferred.
Nice to have
- Familiarity with machine learning and data science techniques.
- Experience with infrastructure, real assets, or private markets.
- Experience in asset management, hedge funds, proprietary trading, or similar investment environments.
Culture & Benefits
- Collaborative, open-door culture with an emphasis on diversity, inclusion, and mutual respect.
- Opportunities to build on existing strengths and develop new skills and experiences.
- Hybrid flexibility with manager-approved remote workdays.
- Comprehensive rewards may include retirement, health and insurance programs, paid time off, wellness programs, and long-term rewards.
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