Winton
investment management
DataAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analyst at Winton. Skills: data quality, data consistency, data discoverability, Python, financial data vendors, time series data, complex datasets. own the quality, consistency, and discoverability of datasets as they move from onboarding into production. uphold data standards and catalogue, so datasets are easy to find, trust, and use”
Industry & Context.
methodical approach to debugging inconsistencies; accelerate complex data investigations
What They're Looking For.
Must Have
3+ years’ experience working with financial data vendors and their products, Hands-on analytical experience using Python, Ability to summarize findings clearly for both technical and non-technical audiences, Meticulous attention to detail, Bias toward evidence-based conclusions, Excellent communication and collaboration skills, Ability to work in a team in a fast-moving, data-centric environment
Nice to Have
Direct experience with reference and hierarchical data (security masters, classification trees, entity relationships) and cross-vendor alignment, Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows, Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near-production feeds, Experience building ETL/ELT pipelines using Python, Practical experience using LLMs to accelerate complex data investigations
What You'll Do.
and discoverability of datasets as they move from onboarding into production
uphold data standards and catalogue
so datasets are easy to find
define and execute rigorous acceptance criteria for new and evolving data products
act as a subject-matter expert on data products
build and maintain an automated catalogue of datasets
keep the catalogue aligned with reality when pipelines change
systematically probe new and existing datasets to ensure they meet high data quality standards
contribute to data quality frameworks
onboarding checklists
How You'll Work.
Team & Collaboration
partnering with Data Engineers on handoff contracts; partnering with Quant Researchers on analytic sanity checks; partnering with operations on repeatable triage when anomalies appear in production datasets; work collaboratively; work in a team
Communication Scope
summarize findings clearly for both technical and non-technical audiences; excellent communication
Full Job Description
About Winton Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems. As a Data Analyst within our Quantitative Platform team, you will own the quality, consistency, and discoverability of datasets as they move from onboarding into production. You will uphold our data standards and catalogue, so datasets are easy to find, trust, and use. Your work spans vendor-sourced financial data, time series across instruments and asset classes, and complex, multi-table products where correct mapping and definitions matter as much as raw data accuracy. Your responsibilities will include: Defining and executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references where av
Applying for this Data Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Winton?
Real rants from real employees. Read before you apply.