Data Engineer - Systematic Trading

Overview

Referment has partnered with a systematic hedge fund that has opened a Data Engineering role. Working directly with PMs, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies, presenting an opportunity to work close to the investment process as the company grows into new asset classes. The role involves building and maintaining data pipelines for intraday and systematic trading desks, and creating frameworks to guarantee the accuracy and integrity of datasets which dictate the efficacy of their quantitative strategies. The successful applicant must have strong Python development skills and at least 4 years of experience as a Data Engineer within financial markets.

Key Requirements

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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Financial Services
• Investment Management
• IT Services and IT Consulting

Location

• London, United Kingdom
• Slough, United Kingdom