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Open nowFirst seen 1 hour ago

Junior Data Analyst

White Swan Data16 open roles

Where
London
Work mode
On site
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Your applicationOpen nowJunior Data AnalystWhite Swan Data · London

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: first seen 1 hour ago

The posting

As a Junior Data Analyst, you will turn complex trading and market data into actionable insights that directly influence how and where we trade. You will build reporting and visualisation tools that the team relies on to steer our strategies, uncover opportunities hidden in large datasets, and help us make smarter, faster, data-driven decisions in a fast-paced quantitative trading environment.

Working closely with traders and quants, you will have responsibility from day one: testing ideas, challenging assumptions and bringing fresh perspectives to the table. You will also collaborate with the quant team to develop and refine our models, from building datasets and running back tests to validating performance in live trading. This is an opportunity to have a tangible impact on trading performance, combining rigorous analysis with practical problem-solving to help drive the business forward.

Key Responsibilities

  • Turn data into decisions: your analysis will directly shape how and where we trade
  • Build the reporting tools management relies on to steer the business
  • Work through large volumes of trading and market data to find the edges others miss
  • Be the traders' go-to analyst: test their ideas quickly, challenge assumptions and bring your own insights
  • Work with the quant team to sharpen our models, from building datasets and back tests to proving what works once it's live

Skills, Knowledge and Expertise

Must have:

  • Degree in computer science, maths, statistics or another quantitative field
  • Strong SQL
  • Proficient in Python
  • Experience working with large datasets
  • Familiar with statistical analysis and modelling
  • Familiar with AI tools (Claude preferred)

Nice to have:

  • Personal or professional experience in betting or trading
  • Knowledge of major sports

Benefits

  • Salary depending on experience.
  • Annual discretionary performance bonus.
  • 25 days holiday per annum, plus UK bank holidays.
  • Private health & dental insurance.
  • Optical cover through Aviva.
  • Pension plan.
  • Gympass membership to over 1900 gyms and wellness businesses.
  • Breakfast bought in every day and lunch bought in twice a week
  • Free coffee & snacks at the office.
  • Regular team events & socials.
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