Level

Point72

Senior Data Engineer, Mi-Platform

AI in this role

langchain

Senior Data Engineer, Proprietary Research

London

A Career with Point72's Market Intelligence team

On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. 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

  • Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools.
  • Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products.
  • Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment
  • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies
  • Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions
  • Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements

WHAT’S REQUIRED  

  • 5+ years of experience in Data Engineering, Software Engineering or related field
  • 2+ years of strong experience in Python development
  • Experience with system design and leading multi-person development efforts
  • Experience with distributed data processing frameworks like Spark
  • Experience with building scalable APIs, and software applications w/ focus on backend infrastructure
  • Experience with cloud platforms and services for data storage and compute (for example AWS, Google Cloud Platform, or Azure)
  • Experience with orchestration technologies like Airflow
  • Knowledge of/experience with langraph/langchain or similar frameworks, embedding models, vector, graph databases is a plus
  • A strong drive to staying current with AI advancements and translating emerging techniques into practical, real-world applications.
  • 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:

  • Private Medical and Dental Insurances
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
  • Mental and physical wellness programmes
  • Tuition assistance
  • Non-contributory pension 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/

How we rate this

Senior Data Engineer, Mi-Platform at Point72 rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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