Overview

Referment has partnered with a systematic hedge fund that recently opened a new Data Engineering role. The role involves building and maintaining the data infrastructure that fuels research and trading strategies, with exposure to the investment process as the company grows and expands into new asset classes. The position focuses on intraday and systematic trading data pipelines and frameworks to ensure dataset accuracy and integrity that drive quantitative strategies.

Strong Python development skills and at least 4 years of experience as a Data Engineer within financial markets are required.

Responsibilities

• Build and maintain data pipelines for intraday and systematic trading desks
• Develop frameworks to guarantee accuracy and integrity of datasets used by quantitative strategies
• Collaborate with PMs, traders and quants to support research and trading activities

Qualifications

• 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 such as Kafka, S3 and Airflow
• Degree or higher in Computer Science or a related field
• Willingness to perform support and occasional on-call work as required

Employment details

• Senior Level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology, Engineering, and Finance
• Industries: Financial Services, Investment Management, and IT Services and IT Consulting

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