5 часов назад
Senior Associate, Quantitative Researcher, Private Equity Co-Investments
180 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Associate, Quantitative Researcher, Private Equity Co-Investments (Python/SQL): Developing quantitative models and statistical analyses of private equity co-investment opportunities using proprietary private market datasets, with an accent on investment diligence, portfolio construction, and risk/return analysis. Focus on exploring and visualizing large datasets, integrating quantitative models with fundamental deal-team research, and applying AI/ML techniques to private markets investing.
Location: Hybrid role based in Boston, London, or Dublin. Up to 18 remote workdays per quarter are available with manager approval.
Base salary for US-based employees: $180,000–$210,000 annually, plus discretionary annual bonus and potential long-term rewards.
Company
is a global investment firm focused on delivering solutions for clients and investing partners through collaborative and data-informed investing.
What you will do
- Analyze proprietary private markets datasets and quantitative models to assess risk/return relationships and private equity co-investment opportunities.
- Support active investment diligence, investment selection, pipeline monitoring, and portfolio construction.
- Explore and visualize data to test investment team hypotheses and generate actionable insights.
- Communicate quantitative findings to investment teams and support the integration of QIS models with fundamental deal-team analysis.
- Apply new AI and ML models and techniques to advance quantitative methods in private markets investing and risk management.
- Conduct ad-hoc quantitative analyses for client-facing teams and respond to client requests.
Requirements
- 3+ years of experience in a quantitative finance role, including experience in quantitative equity.
- Strong statistical analysis skills and experience working with large datasets.
- Strong programming skills, preferably in Python and SQL, including numerical, statistical modeling, and visualization libraries.
- Bachelor’s degree in an appropriate field is required.
- Clear communication of quantitative insights, intellectual curiosity, initiative, and ability to work collaboratively on high-priority projects.
Nice to have
- Experience with bottoms-up financial modeling.
- Master’s degree or Ph.D. in a technical field.
- Independent research experience through an academic thesis or industry research.
- Prior private markets experience.
Culture & Benefits
- Collaborative, open-door environment with a focus on diversity, inclusion, and mutual respect.
- Hybrid work arrangement with discretionary remote workdays each quarter.
- Potential eligibility for annual bonus and long-term reward programs.
- Comprehensive rewards package may include retirement, health and insurance programs, paid time off, and wellness benefits.
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