Data Quality Engineer
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Data Quality Engineer
imc· Technology
About this role
At IMC, data shapes trading decisions across a wide range of financial products. The Data Quality team owns the integrity, completeness, and timeliness of the datasets our Quantitative Researchers and Traders rely on. As a Data Quality Engineer, you design the statistical methods that detect, characterise, and quantify issues in those datasets. Additionally, you own historical datasets that turn raw vendor and internal feeds into pricing-grade inputs and output.
Your responsibilities
Statistical methods
- Design statistical methods from first principles to detect outliers, distribution shifts, stale values, missing values, and inconsistencies across market datasets.
- Investigate anomalies, quantify their impact on pricing and trading decisions, and communicate findings through written analyses and design documents.
- Refactor and generalise methods as new asset classes and regions expose edge cases.
Historical Datasets
- Ingest, assess, clean and maintain historical data from various external sources by designing and owning automated pipelines for corrections
- Engage researchers and traders directly on data trust, methodology, and trade-offs.
- Coordinate across curators, quantitative researchers, and developers for each dataset.
Curation in production
- Roll out new and existing methods to production across regions and asset classes.
- Contribute production code in shared libraries
What you bring to the team
- 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 including the statistical libraries used for time-series analysis and surface fitting.
- Comfortable moving between interactive analysis and production code.
- A self-starter who finds the work that must be done, and does it without direction
- Direct stakeholder communication with researchers and traders on data trust.
- Intellectual curiosity about messy real-world market data.
- Genuine interest in financial markets (no prior knowledge or experience is required)
About Us
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
Frequently Asked Questions
Is the salary disclosed for the Data Quality Engineer position at imc?
The salary for this Data Quality Engineer role at imc is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Quality Engineer position at imc located?
This Data Quality Engineer role at imc is based in Amsterdam, Netherlands. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Quality Engineer at imc belong to?
This Data Quality Engineer position is part of the Technology department at imc. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Quality Engineer position at imc?
Click the "Apply Now" button on this page. You will be redirected to imc's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Quality Engineer job at imc posted?
This Data Quality Engineer position at imc was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Quality Engineer
imc
You'll be redirected to imc's official application page on Greenhouse.