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Data Quality Engineer

IMC
Location
Amsterdam, Netherlands
Posted
19 days ago
Department
Technology
What they actually want (must-haves)
  • 3–5 years working with large-scale financial or scientific datasets
  • A Master's degree in a quantitative discipline (Mathematics, Statistics, Econometrics, Physics, or similar)
  • Strong Python skills including statistical libraries for time-series analysis and surface fitting
  • Ability to move between interactive analysis and production code
  • Self-starter with the ability to work independently
  • Direct stakeholder communication skills with researchers and traders
Nice to have
  • Genuine interest in financial markets (no prior knowledge or experience is required)
What the job really is

As a Data Quality Engineer at IMC, you will design statistical methods to ensure the integrity and completeness of datasets used by Quantitative Researchers and Traders. Your role involves investigating data anomalies, maintaining historical datasets, and collaborating with various stakeholders to enhance data trust and methodology. You will also contribute to production code and automate data correction processes.

Things to weigh
  • No salary listed
  • Role involves significant interaction with stakeholders, which may require strong communication skills
  • The position requires a blend of statistical analysis and software engineering, which may appeal to candidates with diverse skill sets
Job score2.6/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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