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Carter Wahlberg

AI Researcher - Alpha Generation (Equities)

London
Posted about 23 hours ago
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AI Researcher - Alpha Generation (Equities)

Madrid

Use cutting-edge machine learning to design the strategies that move real capital, at one of the world's most sophisticated hedge fund environments. This is a pure research seat. You'll sit alongside investment officers as part of a dedicated Research AI team, applying modern ML to generate alpha - primarily in equities. Your work isn't decision support or tooling; your models are the strategy. You'll go from hypothesis, to signal, to backtest, to something that trades.

You'll enjoy London-level compensation with the option of being based in Madrid, and the intellectual freedom of a team built around research rather than delivery.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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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Strong

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.

What you'll do

  • Research, design and test AI/ML-driven strategies that generate alpha in equity markets
  • Turn raw and alternative datasets into predictive signals, working end-to-end from data to live model
  • Partner directly with investment officers to frame market problems as research problems
  • Push the frontier - bringing the latest ML methods to bear on genuinely hard, high-stakes problems

What you'll need

  • Strong grounding in machine learning fundamentals and the practical skill to build real ML systems that work
  • Fluency in Python and a confident, end-to-end command of the data toolkit: pipelines, feature engineering, cleaning, and applied statistics
  • Familiarity with time-series data and the structure of financial datasets
  • A quantitative degree (Maths, Statistics, CS, Engineering, a hard science or similar) from a top university; MSc/PhD a strong plus
  • An entrepreneurial, ownership-driven mindset - you run towards hard problems

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Skills

Machine Learning
Python
Data Pipelines
Feature Engineering
Applied Statistics
Time-series Data
Alpha Generation
Quantitative Research
Backtesting
Financial Modeling
Data Cleaning
Equities

Location

London, England, United Kingdom

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