Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Systematic Trading

JR United Kingdom
London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Social network you want to login/join with:

Data Engineer - Systematic Trading, London

Client:

Referment

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

4

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

Referment has partnered with a systematic hedge fund that has recently opened a new role in their Data Engineering team.

Working directly with PMs, traders, and quants, you will be responsible for building and maintaining the data infrastructure that supports their research and trading strategies. This role offers an exciting opportunity to work closely with the investment process as the company expands into new asset classes.

The role involves building and maintaining data pipelines for intraday and systematic trading desks, as well as developing frameworks to ensure the accuracy and integrity of datasets that influence the efficacy of their quantitative strategies.

The ideal candidate must have strong Python development skills and at least 4 years of experience working as a Data Engineer in financial markets.

Key Requirements

  • 4+ years of experience building ETL/ELT pipelines using Python within financial markets (preferably for a systematic trading desk)
  • Strong knowledge of SQL and relational databases
  • In-depth knowledge of data streaming technologies like Kafka, S3, and Airflow
  • A degree or higher in Computer Science or a related field
  • Willingness to provide support and perform occasional on-call work as required

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.