Carter Wahlberg
Quant Data Scientist (Investment/PM Support)
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Quant Data Scientist (Investment/PM Support)
Madrid
Build the analytics that shape investment decisions at one of the world’s most sophisticated hedge funds, while based in Madrid.
Here you’ll get elite hedge fund exposure and work on real-world investment problems — evaluating forecasts and strategies, turning alternative data into signals, and measuring performance in ways that directly inform how portfolio managers and analysts make decisions. You’ll enjoy London-level salaries, but with the lifestyle benefits of being Madrid-based. And there’s plenty of ownership too. This is a space where your tools, dashboards and analytics feed straight into the investment process and influence real capital at work.
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What you’ll do
Join the Portfolio Strategy team as a quantitative developer / data scientist, building production-grade applications, tools and dashboards from a wide range of datasets to support decision support, investment advice and investment strategies.
In practice, you’ll act as a technical partner to portfolio managers and analysts — helping them interpret data, measure performance and evaluate strategies more effectively. The role bridges data science, market understanding and real investment activity.
A simple way to think about it: the portfolio manager decides where to invest, and you build the analytical framework that helps them measure it, stress it and understand the risks — from raw dataset to the dashboard on their desk.
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What you’ll need
- Quantitative degree — Maths, Statistics, Engineering, Economics, Computer Science or the like, at 2.1 or above, with a Master's or PhD a welcome bonus.
- Fluency in Python
- A confident command of the data toolkit end to end: building pipelines, engineering and cleaning data, and drawing it together with solid applied statistics.
- Familiarity with time-series data and the structure of financial datasets
- 2+ years in a hedge fund, prop shop, bank or similar is ideal
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