Data Engineer, Quantitative Platform

Winton; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Winton, a research-driven investment management firm, is seeking a Data Engineer for the Quantitative Platform to build and maintain data infrastructure supporting research and live trading. You will own end-to-end datasets, ensure data quality, and enable fast, reliable analysis for sophisticated models in a dynamic market environment.

Collaborating with quantitative researchers and technologists, you will onboard data products, design robust pipelines, and maintain automated validation.

Qualifications

• Experience using Python in a production environment.
• Strong communication and collaboration skills.
• Desire to work in an operational data-centric enterprise.
• Ability to work in a fast-paced, data-driven trading setting.

Responsibilities

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet requirements for research and live trading.
• Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices.
• Engineering and maintaining automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets.
• Providing expert operational support for data pipelines, diagnosing and resolving issues to ensure uninterrupted high-availability data feeds.
• Participating in team rotations, including on-call schedules, to maintain resilience of data systems outside standard hours.

Skills

Python

Teamwork

Communication

Data-centric

Tools

S3

Kafka

Airflow

Iceberg

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 Engineerwithin our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets including market, fundamental, and alternative sources, ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.

Your responsibilities will include:

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
• Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems.
• Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies.
• Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities.
• Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours.

What we are looking for:

• Experience using Python in a business-critical environment
• A commitment to engineering excellence and pragmatic technology solutions.
• A desire to work in an operational role at the heart of a dynamic data-centric enterprise.
• Excellent communication and collaboration skills, and the ability to work in a team.

What would be advantageous:

• Strong understanding of financial markets.
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg.
• Proficiency working with large financial datasets from various vendors.
• Experience working with hierarchical reference data models.
• Proven expertise in handling high-throughput, real-time market data streams
• Operational experience supporting real time system

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.