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13 часов назад

AlpInvest Embedded Data Scientist (AI)

190 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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