Data Engineer - Equity Trading - Quant Hedge Fund - $325k

JR United Kingdom; London; Hybrid; USD 325,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to join their equity trading team. This role offers an exciting opportunity to work within a leading hedge fund, where you'll leverage your expertise in Python and SQL to manage and analyze data that drives investment strategies. Collaborating with data analytics and science teams, you'll help optimize trading processes and contribute to a dynamic, data-driven environment. If you're ready to take your career to the next level and earn a competitive salary while working in a hybrid model, this position is perfect for you.

Qualifications

• Experience with data engineering in trading environments.
• Proficiency in Python and SQL for data analysis.

Responsibilities

• Acquire and pipeline targeted data sets for analysis.
• Assist PM teams in signal generation through data wrangling.

Skills

Python

SQL

ETL

AWS

Job description

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Data Engineer - Equity Trading - Quant Hedge Fund - $325k, London

Client:

Paragon Alpha - Hedge Fund Talent Business

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

I'm collaborating with an equity trading team embedded within one of the world's largest systematic hedge funds. To support their seamless data-driven ecosystem, they're looking for a Data Engineer to assist several PM teams.

The firm has a substantial data organization underpinning the trading lifecycle, with data analytics and data science teams embedded in the front office to enable more data-driven trades and investments.

The role involves acquiring targeted data sets, pipelining them, and helping to wrangle and analyze the data to assist in signal generation.

Stack: Python, AWS, ETL, SQL

The client is seeking to speak with Data Engineers from trading backgrounds who are technically proficient in Python and SQL across multiple asset classes.

If you are interested in earning a market-leading salary and working in a hybrid model, please apply.