Quant Data Platform Analyst: Data Quality & Catalog Lead

Quant Data Platform Analyst: Data Quality & Catalog Lead

Full-Time 51750 - 63250 £ / year (est.) No working from home possible
Winton Capital US LLC

At a Glance

  • Tasks: Own data quality and cataloging for datasets in a dynamic quantitative platform.
  • Company: Winton Capital, a leading firm in quantitative finance.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Other info: Collaborate with experts in strategy, engineering, and research.
  • Why this job: Make an impact on data accuracy and discoverability in a cutting-edge financial setting.
  • Qualifications: Experience in data analysis and strong attention to detail.

The predicted salary is between 51750 - 63250 £ per year.

Winton Capital US LLC is seeking a Data Analyst for the Quantitative Platform to own data quality and cataloging as datasets move from onboarding to production. You will ensure datasets meet standards and are easily discoverable, covering vendor data, time series, and complex multi-table products where mapping matters as much as data accuracy.

You will collaborate with Strategy Managers, Data Engineers, and Quant Researchers to maintain data quality, address anomalies, and document limitations.

Quant Data Platform Analyst: Data Quality & Catalog Lead employer: Winton Capital US LLC

Winton Capital US LLC is an exceptional employer that fosters a collaborative and innovative work culture, where data analysts play a crucial role in ensuring the integrity and accessibility of critical datasets. Located in a dynamic environment, employees benefit from continuous professional development opportunities and a commitment to excellence, making it an ideal place for those seeking meaningful and rewarding careers in data analysis.

Winton Capital US LLC

Contact Details:

Winton Capital US LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quant Data Platform Analyst: Data Quality & Catalog Lead

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When you find a suitable opening like Quant Data Platform Analyst: Data Quality & Catalog Lead at Winton Capital US LLC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Quant Data Platform Analyst: Data Quality & Catalog Lead

Data Quality Management
Data Cataloging
Dataset Onboarding
Vendor Data Management
Time Series Analysis
Multi-Table Data Mapping
Data Accuracy Assurance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Winton Capital US LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Winton Capital US LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Winton Capital US LLC

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.