Fundamental Equities Data Engineer

🔒 Confidential Employer
Posted 24 March 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data Science & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python Data ETL Software Development Linux Data Science Quantitative Skills Programming Skills Communication Skills

FULL DESCRIPTION

Fundamental Equities Data Engineer - London

Experience: Experienced Professionals

Location: London

Focus: Data Science & Analytics

Business: [Employer hidden — view at passion-project.co.uk]

A Career with [Employer hidden]’s Fundamental Equities Business

Fundamental Equities is [Employer hidden]’s largest and longest-tenured investing business. For more than 30 years, we have equipped our analysts and portfolio managers with the resources, autonomy, and support we believe they need to build exceptional careers that reflect their unique strengths as investors.

We maintain a high bar for hiring and make a deep, long-term investment in our talent—the tenure of our people reflects our focus on understanding and underwriting process, not just looking at yesterday’s PnL.

Steve Cohen started this firm as an equities investor and has maintained a lifelong commitment to helping the best in our industry get even better. We have a strong track record of identifying, supporting, and advancing our homegrown talent—as of this posting, more than half of the PMs launched through our emerging manger program, [Employer hidden] LaunchPoint, were previously analysts at our firm. This commitment is further reinforced through dedicated coaching and development programs designed to help accelerate growth at every phase of an analyst’s career.

For people with the passion and drive to become truly great equities investors, [Employer hidden] offers an environment unlike any other.

What You'll Do

  • Improve data ETL pipeline and build tools to analyse new compliance approved data efficiently.
  • Build technologies to bolster research and trading efficiency.
  • Partner with your portfolio manager, team of fundamental analysts, quantitative researchers and compliance to design, implement, and optimize robust data pipelines integrating market, fundamental, and alterative datasets
  • Expand to new markets and asset classesManage day-to-day operations in a fast-paced environment, ensuring high availability and performance of data delivery systems
  • Gain full-stack exposure and build expertise in multiple aspects of quantitative trading.

What’s Required

  • Master or PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python;
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • 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 [Employer hidden]

[Employer hidden] is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, [Employer hidden] 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://[Employer hidden].com/.

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