Harrington Starr
Data Engineer

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Opportunity at a Leading Hedge Fund
Join a leading hedge fund with a strong presence in major financial centres and be part of a collaborative team that delivers strong returns while assessing risk through innovative strategies.
Role Overview
You will be working in a front office team delivering the data used for research and strategy, so that Portfolio Managers (PMs), quants, and risk managers can work with high-quality data more efficiently. This role involves producing robust and scalable data solutions at a fast pace, automating data quality, and integrating vendor and internal systems.
Reasons to use Rodeo
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities


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- Work to produce robust and scalable data solutions at a fast pace.
- Automate data quality.
- Integrate vendor and internal systems.
Requirements
- Education: BSc/MSc/PhD in Computer Science, Physics, Engineering (or related field).
- Experience:
- 4+ years in the financial industry in Front Office/Quant/PM environment.
- Advantageous to have experience in a hedge fund.
- Skills:
- Familiarity with live market data across multiple asset classes.
- Advanced Python and C++ for data analysis.
- Advanced SQL and experience with Snowflake/Redshift/BigQuery + Parquet/Iceberg.
- Hands-on cloud experience (AWS/GCP/Azure/Kafka).
- Comfort with Linux and modern DevOps practices.
- Production monitoring with Grafana/Datadog/ELK.
- Experience integrating third-party/live-streaming data providers.
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Jessica, London
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