4 дня назад
Executive Director, AI Research — Private Assets R&D (AI)
246 000 - 320 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Executive Director, AI Research — Private Assets R&D (AI): Building AI-native research capabilities and client-facing analytics for private equity, private credit, and real assets with an accent on evaluated pricing, comparable selection, nowcasting, cash flow forecasting, and explainable LLM-based models. Focus on designing agentic AI workflows, automating recurring research tasks, and translating applied AI research into production solutions for institutional clients.
Location: New York, United States
Salary: $246,000–$320,000 per year, plus eligibility for an annual bonus.
Company
provides research-based data, analytics, indexes, and technology for institutional investors across public and private markets.
What you will do
- Define and drive the AI research agenda for Private Assets R&D.
- Develop AI-driven pricing evaluation and comparable-selection methods using unstructured text, financial filings, and embedding-based similarity models.
- Extend nowcasting and cash flow forecasting capabilities with modern machine learning and LLM-based methods, emphasizing explainability.
- Design and deploy agentic AI workflows and prototypes for client-facing products.
- Automate recurring research tasks, including market commentary generation and model parameter re-estimation.
- Represent Private Assets R&D in client engagements and published research.
Requirements
- Master’s degree or PhD in Computer Science, Computational Science, Statistics, Mathematics, or a related quantitative field.
- 10+ years of applied AI/ML or quantitative research experience, including building and deploying production models.
- Deep expertise in Python and modern machine learning frameworks.
- Hands-on experience with large language models, retrieval-augmented generation, and/or deep learning.
- Ability to own research end-to-end, from hypothesis development through validation and client-ready delivery.
- Strong communication skills for presenting complex methodologies to senior stakeholders and institutional clients.
Nice to have
- Knowledge of private markets, asset management, or institutional investment analytics.
- Experience applying NLP, document parsing, or web extraction to financial problems.
- Familiarity with agentic AI frameworks and rapid prototyping tools.
Culture & Benefits
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Comprehensive employee benefits tailored to location.
- Learning opportunities through the Global Orientation program, Learning@, AI Learning Center, and LinkedIn Learning Pro.
- Career development through internal mobility and expanded roles.
- Inclusive environment supported by eight Employee Resource Groups.
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