Overview

Data Engineer - Systematic Trading (Ref: 8cbf-)

This range is provided by Referment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Referment has partnered with a systematic hedge fund who have recently opened up 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 fuels their research and trading strategies. This role offers the opportunity to work close to the investment process as the company grows and expands into new asset classes.

The role involves building and maintaining data pipelines for intraday and systematic trading desks, as well as frameworks to guarantee 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 similar field
• Willingness to provide 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
• Software Development