6 часов назад
Vice President, Quantitative Researcher, Evergreen Portfolio Management
210 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Vice President, Quantitative Researcher, Evergreen Portfolio Management (Python/SQL): Developing quantitative models and statistical analysis for private equity evergreen portfolios with an accent on liquidity management, portfolio construction, market risk, and stress testing. Focus on analyzing large proprietary private-market datasets, integrating models into portfolio management, and generating actionable insights for fund and client-facing teams.
Location: Boston, United States; hybrid work arrangement. Up to 18 remote workdays per quarter are available with manager approval, with regular office attendance expected.
Base salary: $210,000–$280,000 USD annually, 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 markets investing.
What you will do
- Develop quantitative models and conduct statistical analysis for private equity evergreen portfolio management.
- Analyze proprietary private-market datasets to evaluate market risk and return relationships, liquidity, and stress events.
- Develop strategies to optimize liquidity management and fund performance.
- Communicate quantitative analysis results and actionable insights to the Evergreen fund team.
- Support the adoption and integration of quantitative models into portfolio construction and management processes.
- Provide ad-hoc quantitative analysis for client-facing teams and client requests.
Requirements
- 3+ years of experience in a quantitative finance role within the financial services industry.
- Rigorous statistical analysis experience and the ability to work with large datasets.
- Strong Python programming skills and SQL experience.
- Experience with numerical, statistical modeling, and visualization libraries.
- Ability to learn and enhance an existing code base.
- A bachelor's degree in a technical, quantitative, or related field is required.
Nice to have
- Experience with Monte Carlo simulation methods.
- Independent research experience in academia or industry.
- Master's degree or Ph.D. in a technical field.
- Prior private markets experience.
Culture & Benefits
- Collaborative, collegial, and open-door working environment.
- Focus on diversity, inclusion, mutual respect, and innovative thinking.
- Retirement, health, insurance, paid time off, and wellness programs may be included in the total rewards package.
- Eligibility for long-term reward programs may apply.
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