A leading systematic hedge fund is looking for a talented and motivated Data Engineer who will be responsible for playing a critical role in the successful operation of the core investmemt business by managing all data feeds into the trading strategies across multiple asset classes. The firm have built a best-in-class data pipeline that allows them to ingest, process and distribute data across the Investment Management department. You will be leveraging this data pipeline heavily in your day-to-day to carry out a number of important tasks, including:
Understanding existing and new data products delivered by our data vendors and acting as a technical point of contact for them.
Writing Python code to translate these data products into a format that can be easily used by our trading systems.
Creating and maintaining automated tests to ensure that all data sets meet the high standards required by our quantitative strategies.
Actively supporting the day-to-day operation of our data pipelines by troubleshooting and resolving data-related issues to ensure the timely delivery of data to our trading teams.
This role also involves participating in team shift rotations, including out-of-hours on-call and early morning shifts.
Do you have what it takes?
A strong academic background in computer science, statistics, or a related field
At least 2 years of experience working as a Data Engineer in a similar environment
Proficiency in Python coding
A deep understanding of data pipelines and data engineering best practices
Excellent problem-solving and analytical skills
The ability to work independently and as part of a team
A strong work ethic and a commitment to delivering high-quality results
If you are a sharp and motivated Data Engineer who is looking for a challenging and rewarding opportunity, please get in touch.
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Director
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