13 часов назад
AlpInvest Embedded Data Scientist (AI)
190 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AlpInvest Embedded Data Scientist (AI) (Investment Analytics and AI): Building analytical products, predictive models, and AI-powered workflows for private-market investment decision-making with an accent on GP scoring, portfolio intelligence, fund evaluation, and one-day pricing. Focus on developing production-grade machine learning solutions, applying LLMs and agent-based systems to diligence, and translating complex investment questions into actionable insights.
Location: New York, NY, United States
Base salary: $190,000–$220,000 per year, plus potential annual discretionary incentive compensation.
Company
is an investment firm focused on private markets and investment performance.
What you will do
- Partner with investment professionals across Primaries, Secondaries, and Co-Investments to support live investment opportunities.
- Translate investment questions into analytical frameworks, quantitative models, and actionable recommendations.
- Develop GP Scoring methodologies and scalable analytical products for investment workflows.
- Build and deploy machine learning, statistical, and AI-driven solutions, including One-Day Pricing capabilities.
- Apply LLMs, agent-based workflows, and retrieval systems to investment research and diligence.
- Collaborate with engineering and product teams to productionize analytics, automate workflows, and drive adoption.
Requirements
- Bachelor’s degree or higher in a quantitative discipline such as Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or Finance.
- 8+ years of relevant technical experience in data science, machine learning, quantitative analytics, applied AI, or a related field.
- Strong Python programming skills and experience with modern data science libraries and frameworks.
- Deep knowledge of statistical modeling, machine learning, experimentation, and predictive analytics.
- Experience building production-grade analytical products and working with structured and unstructured datasets at scale.
- Experience with senior business stakeholders and familiarity with private equity, asset management, investment performance, portfolio analytics, or fund evaluation.
Nice to have
- Experience applying generative AI, LLMs, or agent-based systems.
- Familiarity with cloud-based analytics environments and modern data platforms.
- Experience combining quantitative analysis with business decision-making in investment technology or financial services.
Culture & Benefits
- Full-time role working directly with investment teams and senior leadership.
- Retirement benefits, health insurance, life insurance, and disability coverage.
- Paid time off and paid holidays.
- Family planning benefits and wellness programs.
- Potential eligibility for an annual discretionary incentive program based on individual and organizational performance.
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