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Data Engineer - Systematic Trading (Ref: 9f721)

Referment

London

On-site

GBP 50,000 - 80,000

Full time

3 days ago

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Job summary

A leading company in the financial services sector is looking for a Data Engineer to join their systematic trading team in London. The successful candidate will be responsible for building and maintaining the data infrastructure that supports research and trading strategies. With a focus on ETL/ELT pipeline development using Python, SQL, and data streaming technologies, this role presents an opportunity to work closely with traders and quant professionals in an expanding firm.

Qualifications

4+ years of experience building ETL/ELT pipelines using Python in financial markets.
Strong knowledge of SQL and relational databases.
In-depth knowledge of data streaming technologies like Kafka, S3, and Airflow.

Responsibilities

Building and maintaining data pipelines for intraday and systematic trading desks.
Ensuring accuracy and integrity of datasets used for quantitative strategies.

Skills

Python

SQL

Data Streaming Technologies

Education

Degree in Computer Science or similar field

Data Engineer - Systematic Trading (Ref: 09f72)

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 PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies, presenting an exciting opportunity to work close to the investment process as the company grows and expands into new asset classes.

The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their quantitative strategies.

As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets.

Key Requirements

4+ years of experience building ETL/ELT pipeline 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 similar field
Willingness to do support and occasional on call work as and when required

#Referment

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Financial Services, Investment Management, and Software Development

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