---
title: 'AI Data Scientist at Point72'
canonical: 'https://feeny.ai/job/ai-data-scientist-point72-hong-kong-2mrvcbbg6k1g'
type: 'job'
last_seen: '2026-09-09'
---

# AI Data Scientist at Point72 

- **Company:** Point72 
- **Location:** Hong Kong, Singapore
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://boards.greenhouse.io/point72/jobs/8658618002?gh_jid=8658618002

## Job description

## ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for an AI Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

## RESPONSIBILITIES

- Build AI-powered data products using machine learning models, large language models, and modern AI tools.
- Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets.
- Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring.
- Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation.
- Work with product, engineering, and business teams to translate business problems into scalable AI solutions.
- Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate.
- Build data pipelines and model workflows for structured and unstructured data.
- Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality.
- Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage.

## REQUIREMENTS

- PhD in Computer Science, with a specialization in AI or machine learning related domains
- Strong programming skills in Python and SQL
- Strong publication record in top tier machine learning conferences
- 3+ years of experience as a Data Scientist or similar role
- Experience working with large data sets including predictive modeling
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
- Intellectual curiosity and enthusiasm for learning
- Attention to detail and a love of processes
- Strong oral and written communication skills
- Ability to multitask and prioritize assignments
- Commitment to the highest ethical standards

## About Point72 

## Company Overview
- **One-liner**: Point72 is a leading global alternative investment firm led by Steven A. Cohen that deploys fundamental equities, systematic, macro, private credit, and venture capital strategies across asset classes and geographies.
- **Entity Type**: Private (Registered Investment Advisor, not publicly traded)
- **Headquarters**: Stamford, Connecticut, United States
- **Founded**: 1992 (founded as SAC Capital; rebranded as Point72 Asset Management in 2018)
- **Founders**: Steven A. Cohen

## Core Business
- **Primary industry**: Alternative investment management / hedge fund
- **Target customers**: Institutional investors, high‑net‑worth individuals (B2B); the firm manages capital on behalf of external investors as well as family capital
- **Mission or purpose statement**: The firm was founded as a place “where talent and ambition meet opportunity,” and it carries that vision forward by empowering people with resources and autonomy to turn great ideas into reality.

## Products & Services
- **Fundamental Equities**: Sector‑aligned, multi‑manager long/short equity investing. The largest strategy by headcount and asset allocation.
- **Cubist Systematic Strategies**: Dozens of discrete teams employing computer‑driven trading strategies across multiple liquid asset classes.
- **Global Macro**: Discretionary investments in developed and emerging markets across fixed income, FX, liquid credit, commodities, and derivatives.
- **Private Credit**: Niche, research‑driven opportunities in asset‑based finance, real estate credit, entrepreneur credit solutions, and investment grade corporate credit.
- **Point72 Ventures**: Global multi‑stage venture capital investing led by a diverse set of domain experts.
- **Point72 Academy**: A training program for undergraduates and early‑career professionals to become fundamental long/short investment analysts.
- **Cubist Quant Academy**: A year‑long rotational program for STEM graduates to launch a career in systematic investing.

## Market Standing
- **Valuation/Market Cap**: Not applicable (private firm). Approximate AUM: **$50.7 billion** (as of April 1, 2026) – [point72.com](https://point72.com/)
- **Key Metric**: Over **3,300 employees** globally; **200+ investing teams**
- **Notable Investors/Partners**: The firm accepts outside capital (raised $5.76B in 2018) but specific lead investors are not publicly named. Notable venture investments are made through Point72 Ventures.
- **Growth Signals**:
  - Continued global expansion (offices in 19 cities across North America, Europe, Asia‑Pacific, and the Middle East).
  - New private credit strategy established; firm’s venture capital and growth operations consolidated under Point72 Private Investments.
  - Point72 Academy placed its 100th graduate on L/S teams by 2020; now a key source of diverse talent.
  - Welcomed its 2026 global intern class.

## Competitive Advantages
- **Multi‑manager, multi‑strategy platform**: Autonomy for individual investing teams with access to central resources, research, and technology.
- **Long track record**: 30+ years of investing experience, evolving from <$20M AUM in 1992 to over $50B.
- **Proprietary research ecosystem**: Market Intelligence team applies AI/ML, quantitative, and qualitative techniques; alternative data sets.
- **Talent development**: The Point72 Academy and Cubist Quant Academy provide structured training and internal mobility, making the firm a long‑term career destination.
- **Global footprint**: 24/7 market perspective and ability to source opportunities and talent worldwide.
- **Strong compliance and ethical foundation**: Rebuilt compliance program after rebranding, emphasizing Mission and Values.

## Strategic Focus
- **Expand investment strategies**: growing systematic, macro, private credit, and venture capital alongside the core fundamental equities business.
- **Deepen global presence**: opening new offices and strengthening existing hubs (e.g., Bengaluru, Taipei, Warsaw).
- **Talent pipeline and diversity**: continued investment in the Academy, early‑career programs, and the Office of Inclusion and Engagement.
- **Technology and data innovation**: applying advanced analytics, AI, and technology to investment research and operations.

## Why Work Here
- **Culture & structure**: Flat, entrepreneurial organization where junior team members can make an immediate impact. Emphasis on mentorship, collaboration, and long‑term development.
- **Work environment**: Premium office spaces with amenities; hybrid/office‑based roles (specific policy varies by role and location). Most roles are based in firm offices.
- **Benefits** (generally include): Exceptional healthcare benefits, generous parental and family leave, supplemental retirement plans with employer match, tuition assistance.
- **Engineering & quant culture**: Cubist offers researchers, developers, and data specialists the chance to work on cutting‑edge problems in financial markets.
- **Growth opportunities**: Internal mobility, leadership development, and a strong track record of promoting from within. The firm invests heavily in learning (Academy, conferences, tuition reimbursement).
- **Community and inclusion**: Affinity groups, volunteer opportunities through Community Matters, and a dedicated Chief Inclusion and Engagement Officer.

## Sources
1. [Point72 Home](https://point72.com/)
2. [Point72 What We Do](https://point72.com/what-we-do/)
3. [Point72 Working Here](https://point72.com/working-here/)
4. [Point72 Students & Early-Career](https://point72.com/students-early-career/)
5. [Point72 Careers](https://careers.point72.com/)
6. [Point72 Fundamental Equities](https://point72.com/fundamental-equities/)
7. [Point72 Global Macro](https://point72.com/global-macro/)
8. [Point72 Cubist](https://point72.com/cubist/)

## Other roles at Point72 

- [Quant Library Developer, Macro Technology](https://feeny.ai/job/quant-library-developer-macro-technology-point72-united-states-j0vn8ct9nqr0) — United States
- [Fund Reporting Analyst](https://feeny.ai/job/fund-reporting-analyst-point72-warsaw-cc0xd2q4pzrq) — Warsaw, Poland
- [International Trade Support Analyst](https://feeny.ai/job/international-trade-support-analyst-point72-singapore-c5vzn38yjx6y) — Singapore
- [Compliance Associate, Trading Compliance](https://feeny.ai/job/compliance-associate-trading-compliance-point72-stamford-rhjnb853ydhq) — Stamford, CT
- [Software Engineer, Back Office Systems](https://feeny.ai/job/software-engineer-back-office-systems-point72-new-york-yj85xkz9j9rr) — New York, NY
- [Treasury Application Support Engineer](https://feeny.ai/job/treasury-application-support-engineer-point72-new-york-kya5m57j71ww) — New York, NY
- [It Operations Engineer, End User Computing](https://feeny.ai/job/it-operations-engineer-end-user-computing-point72-new-york-rca7wgvt6ms8) — New York, NY / Stamford, CT
- [P&L Reconciliation and Analysis Associate](https://feeny.ai/job/p-l-reconciliation-and-analysis-associate-point72-bengaluru-zmdx2jh7nbtm) — Bengaluru, India
- [Legal Operations and Innovation Manager](https://feeny.ai/job/legal-operations-and-innovation-manager-point72-stamford-9dcy5expv8ws) — Stamford, CT
- [Threat and Vulnerability Management Engineer](https://feeny.ai/job/threat-and-vulnerability-management-engineer-point72-india-9gxa4pjtarc9) — India