---
title: 'Data Engineer, Knowledge Graph at Point72'
canonical: 'https://feeny.ai/job/data-engineer-knowledge-graph-point72-new-york-5yhqr555jbzb'
type: 'job'
last_seen: '2026-09-09'
---

# Data Engineer, Knowledge Graph at Point72 

- **Company:** Point72 
- **Location:** New York, NY
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-09
- **Apply:** https://boards.greenhouse.io/point72/jobs/8701705002?gh_jid=8701705002

## Job description

A Career with Point72’s Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

## What you’ll do

As a Data Engineer, you will help leverage knowledge graphs that connect companies, industries, and insights about the broader economy. This role begins as an individual contributor position with clear paths to expand your technical leadership as the platform grows. Specifically, you will:

- Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
- Create robust graph processing pipelines for data ingestion, transformation, knowledge extraction, and advanced analytics capabilities.
- Define and implement best practices for knowledge graph development, implementation, and maintenance across the organization.
- Champion the adoption of graph-based solutions across Market Intelligence.

What excites you

- You are passionate about designing data models that represent sophisticated financial relationships and dependencies. You find satisfaction in transforming disparate data sources into a unified, interconnected knowledge graph and implementing graph algorithms to uncover hidden patterns and relationships in financial data.
- You excel at navigating organizational change management and driving adoption of new technologies across diverse teams. You are energized by working with stakeholders and productive collaboration that advances technical initiatives.
- You are motivated by fast-paced environments that require adaptability and strategic problem-solving skills.
- You are driven by creating graph-based solutions that help enhance investment decision-making processes.

What excites us

- We value your proven ability to build and lead engineering teams through complex technical implementations. Your strong track record of hiring and developing technical talent in specialized domains will be essential as we grow our knowledge graph capabilities.
- We are looking for deep expertise in graph data modeling and ontology design specifically for financial applications. Your hands-on experience with graph databases (Neo4j, TigerGraph, Amazon Neptune, etc.) and strong coding skills focused on developing graph-based applications and algorithms will drive our technical success.
- We value interpersonal skills and a willingness to collaborate with stakeholders to achieve technical and business objectives.
- We appreciate your demonstrated success in mentoring engineers and helping them grow into graph specialists.
- We seek candidates with a methodical approach to solving complex data modeling and integration challenges. We value people who "elevate the room" through their work ethic, curiosity, and solution-oriented attitude, inspiring those around them to achieve more.

What’s required

- 3+ years of experience in knowledge graph engineering, graph database development, or related work.
- Proven experience leading technical teams and mentoring engineers to develop technical talent.
- Strong expertise in graph data modeling, ontology design, and semantic technologies.
- Hands-on experience with at least one major graph database technology.
- Advanced programming skills in Python or another high-level language.
- Experience with data integration from diverse sources into unified knowledge graphs.
- Track record of successfully implementing change management for technical initiatives.
- Demonstrated ability to work effectively with challenging stakeholders.
- Experience hiring and building specialized technical teams.
- Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more

## About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $200,000-$300,000, which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

## 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/)

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