---
title: 'Data Analyst, Quantitative Platform at Winton'
canonical: 'https://feeny.ai/job/data-analyst-quantitative-platform-winton-london-05ezt85qpy6p'
type: 'job'
last_seen: '2026-09-10'
---

# Data Analyst, Quantitative Platform at Winton

- **Company:** Winton
- **Location:** London, United Kingdom
- **Posted:** 2026-05-18
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.eu.greenhouse.io/winton/jobs/4868964101

## 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 available.
- Acting as a subject-matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate actions semantics, identifiers, and documentation gaps; escalate and track issues with vendors and internal stakeholders until resolved.
- Building and maintaining an automated catalogue of datasets (descriptions, owners, refresh cadence, SLAs, source systems, schemas, known limitations). Keeping the catalogue aligned with reality when pipelines change so consumers rely on current metadata.
- Systematically probe new and existing datasets to ensure they meet our high data quality standards. Stress-test point-in-time, versioning and revision semantics; chase down corrections, duplicates, staleness, and discontinuities with source vendors.
- Contributing to data quality frameworks, onboarding checklists, and documentation (data dictionaries, lineage notes, known limitations) so quality expectations are repeatable and auditable.
- Partnering with Data Engineers on handoff contracts (schemas, SLA expectations, alerting thresholds), with Quant Researchers on analytic sanity checks, and with operations on repeatable triage when anomalies appear in production datasets.

What we are looking for:

- 3+ years’ experience working with financial data vendors and their products.
- Strong grasp of cross-asset class time series data and requirements from a quantitative strategy perspective
- Strong data modelling skills, with the ability to design clear entity relationships and validate that models match real-world data
- Hands-on analytical experience using Python, and the ability to summarize findings clearly for both technical and non-technical audiences.
- Meticulous attention to detail and a bias toward evidence-based conclusions.
- Excellent communication and collaboration skills, and the ability to work in a team in a fast-moving, data-centric environment.

What would be advantageous:

- 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 working with ETL/ELT pipelines using Python.
- Practical experience using LLMs to accelerate complex data investigations.

## Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

## About Winton

## Company Overview
- **One-liner**: Winton is a quantitative investment management firm that designs and trades systematic investment strategies across global liquid asset classes to generate absolute returns for institutional clients.
- **Entity Type**: Private (bootstrapped, not venture-backed)
- **Headquarters**: London, United Kingdom
- **Founded**: 1997
- **Founders**: Sir David Harding

## Core Business
- **Primary industry**: Quantitative Investment Management / Hedge Funds / Systematic Trading
- **Target customers**: Institutional investors (pension funds, sovereign wealth funds, endowments, financial advisers) seeking absolute returns and portfolio diversification.
- **Mission or purpose statement**: To generate returns for clients across a range of market environments through original research, rigorous statistical analysis, and deep experience of markets.

## Products & Services
- **Flagship Multi-Strategy Hedge Fund**: A diversified systematic strategy across trading frequencies, asset classes (equities, commodities, FX, fixed income), and instruments (exchange-traded and OTC).
- **Trend-Following CTA Strategies**: A pioneer in trend following since 1997, offered as standalone or within multi-strategy programmes.
- **Systematic Alternatives Platform**: Scalable investment platform offering tailored solutions for institutional investors, including offshore, onshore, and single-investor fund formats.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private firm)
- **Key Metric**: $18 billion in assets under management [winton.com](https://www.winton.com/)
- **Notable Investors/Partners**: Serves the world’s largest institutional investors and financial advisers globally. Offices across four continents (London, Abu Dhabi, and others).
- **Growth Signals**: Expansion into new investment strategies (e.g., MENA Equities Quantitative Researcher role). High employee retention (8 years average tenure). 43% of employees are Winton shareholders [winton.com](https://www.winton.com/working-at-winton).

## Competitive Advantages
- **Pioneer in systematic investing**: Founded in 1997, Winton is a long-established leader in trend-following and quantitative strategies, with a 25+ year track record.
- **Original research edge**: A consistent focus on R&D and methodological rigour is the core of their investment philosophy, differentiating them from peers.
- **Integrated, centralised platform**: Centralised data, execution, and operations infrastructure enables efficient strategy rollout across asset classes and trading frequencies, removing friction for researchers and portfolio managers.
- **High-performance, collaborative culture**: Emphasis on intellectual integrity, evidence-based decision-making, and cross-divisional collaboration (investment management, technology, business management).

## Strategic Focus
- **Multi-strategy expansion**: Actively hiring quantitative researchers and portfolio managers with expertise in new strategies (e.g., MENA equities, commodities) to expand beyond their core trend-following roots.
- **Technology and infrastructure investment**: Continually integrating the latest technologies (hybrid-cloud, containerised processes) to scale proprietary and open-source applications for data, execution, and post-trade activities.
- **Global reach**: Deepening presence across four continents and five time zones to support local client relationships and investment activities.

## Why Work Here
- **Culture**: Collaborative, intellectually rigorous, and detail-oriented. The firm values “careful and considered decision-making” and open, supportive learning. Teams work across the stack and with business users directly, removing the need for product managers.
- **Work environment**: In-person focused office environment designed to maximise collaboration and creativity. Hybrid-cloud tech stack.
- **Benefits**: Comprehensive benefits programme for employees and families; compensation scheme that rewards excellence; 43% of employees are shareholders.
- **Engineering culture**: Technology teams are responsible for the core infrastructure of investment strategies. They host regular Tech Talks, sponsor conference attendance, and support upskilling through training and courses. Developers work closely with business users, fostering strong long-term relationships.
- **Tenure and stability**: Average employee tenure of 8 years, indicating strong retention and a stable, supportive environment [winton.com](https://www.winton.com/working-at-winton).
- **Recruitment process**: Transparent and supportive—application, phone interview, technical assessment/case study, video/onsite interviews, then offer. The process is designed to let candidates showcase abilities rather than pass arbitrary tests.

## Sources
1. [winton.com](https://www.winton.com/)
2. [winton.com - Working at Winton](https://www.winton.com/working-at-winton)
3. [winton.com - About / What We Do](https://www.winton.com/about)
4. [winton.com - Career Opportunities](https://www.winton.com/opportunities)
5. [winton.com - Leadership](https://www.winton.com/leadership)

## Other roles at Winton

- [Quantitative Developer, Commodities](https://feeny.ai/job/quantitative-developer-commodities-winton-london-w6my76182835) — London, United Kingdom
- [Senior Full Stack Software Developer, Post-Trade](https://feeny.ai/job/senior-full-stack-software-developer-post-trade-winton-london-pt799myh56n5) — London, United Kingdom
- [Senior Software Engineer, Post-Trade](https://feeny.ai/job/senior-software-engineer-post-trade-winton-london-axc2b8px28dz) — London, United Kingdom
- [Data Engineer, Quantitative Platform](https://feeny.ai/job/data-engineer-quantitative-platform-winton-london-e60thkqfcbz0) — London, United Kingdom
- [Cloud Engineer](https://feeny.ai/job/cloud-engineer-winton-london-d2w8cv9vqkey) — London, United Kingdom
- [Register Your Interest: Technology](https://feeny.ai/job/register-your-interest-technology-winton-london-atbfrmzxmfgb) — London, United Kingdom
- [Register Your Interest: Investment Management](https://feeny.ai/job/register-your-interest-investment-management-winton-london-6hawcyjq3vz5) — London, United Kingdom
- [Register Your Interest: Business Management](https://feeny.ai/job/register-your-interest-business-management-winton-london-6ef18zvt56tx) — London, United Kingdom
- [MENA Equities Quantitative Researcher](https://feeny.ai/job/mena-equities-quantitative-researcher-winton-abu-dhabi-3wjswymy8yfw) — Abu Dhabi, United Arab Emirates