Winston Fox
Senior Data Software Engineer – Quant Hedge Fund (London)

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Senior Data Software Engineer with expertise in Python, SQL, databases, Linux, and Docker sought by one of the early Systematic Hedge Funds – an award-winning firm renowned for their collaborative and friendly culture.
You will join a six-person Data Engineering team as one of the more senior engineers so owning projects and helping lead and mentor junior team members. The team have a broad remit across ingestion, storage, transformation, and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure.
The business is currently midway through massive technology modernisation therefore there is ample opportunity to work on greenfield projects and with new technologies. We are looking for someone passionate about technology who stays current with industry trends, follows engineering best practices, and is always looking for opportunities to improve systems, processes, and performance.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Responsibilities
- Developing ELT / ETL pipelines to ingest and transform datasets with Python, Snowflake and dbt.
- Building a streaming platform (Kafka, Flink, Iceberg) to capture and aggregate large volumes of tick data.
- Consolidating legacy systems onto a next-generation cloud-native technology stack.
- Working closely with quantitative developers, researchers and portfolio managers.
- Supporting Java-based live data feed handlers.
Requirements
- 5+ years working as a Software Engineer and/or Data Engineer.
- Relevant experience in a Hedge Fund - ideally in the Quant/Systematic space.
- Strong expertise in Python, SQL and a good understanding of relational databases.
- Confident working with Linux and Docker. AWS experience preferred.
- An excellent communicator, ability to communicate clearly with technical and non-technical colleagues.
- Skills in Java and/or Kafka, Flink and Iceberg preferred.
- Cloud Data Warehousing experience preferred, especially using Snowflake.
- Financial experience – especially in relation to Buy Side, Electronic Trading and Market Data Vendors and APIs.


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This is an excellent long-term opportunity for a talented Data Software Engineer to take on a more senior role in a specialist Systematic Hedge Fund renowned for their friendly working culture and work/life balance (i.e. only 3-days per week onsite). Please apply below or contact adam@winston-fox.co.uk for more information.
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