Python Data Engineer - Systematic Trading - Hedge Fund

JR United Kingdom; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading alternative asset manager in London seeks a Python Data Engineer to enhance their quantitative platform team. The role involves building robust data infrastructures and collaborating with quantitative researchers to ensure high-quality data for investment strategies. This position offers significant career progression and a competitive compensation package, including benefits such as private healthcare and annual leave.

Benefits

Pension

Private Healthcare

Life Assurance

25 Days Annual Leave

Qualifications

• Strong academic background in a STEM or Computer Science focused discipline.
• Experience in financial markets with a focus on securities & derivatives trading.

Responsibilities

• Build and maintain data infrastructure for research and trading strategies.
• Ensure timely acquisition, cleaning, and delivery of diverse datasets.

Skills

SQL

Communication

Attention to Detail

Adaptability

Education

STEM or Computer Science Degree

Tools

AWS

S3

Kafka

Airflow

Iceberg

Job description

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Python Data Engineer - Systematic Trading - Hedge Fund, London

Client:

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

5

Posted:

12.05.2025

Expiry Date:

26.06.2025

Job Description:

The Client

My client is a market-leading alternative asset manager focused on multi-asset systematic investing.

The are looking for a Python-focused Data Engineer to join their quantitative platform team.

What You'll Get

• An opportunity to work in one of the most exciting and fast-growing buy-side businesses in the City.
• An opportunity to join a strong team with a very high talent density, presenting lots of opportunity for learning and development.
• Incredible career progression opportunities with potential access to all areas of the business.
• A market-leading compensation package including basic salary and annual bonus.
• Benefits including a pension, private healthcare, life assurance, and 25 days annual leave.

What You'll Do

• Build and maintain the data infrastructure that fuels the funds' research and trading strategies.
• Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
• Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

What You'll Need

• Strong academic background in a STEM or Computer Science focused discipline.
• Experience with SQL and relational databases.
• Experience with AWS or similar Cloud technology.
• Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
• Experience in the financial markets with a focus on securities & derivatives trading.
• Exceptional communication skills, attention to detail, and adaptability.