Data Engineer
Data Engineer
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Job Description
About Winton
Winton is a researchbased 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 worlds major liquid asset classes. Founded in 1997 by David Harding Winton today manages assets for some of the worlds largest institutional investors.
We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.
Winton leverages quantitative analysis and cuttingedge technology to identifyand capitalize on opportunities across global financial markets. We fostera collaborative and intellectually stimulating environment bringing together individuals with Mathematics Physics and Computer Science backgrounds whoare passionate about applying rigorous scientific methods to financial challenges. As a fundamentally datadriven business our success is heavily linked to the acquisition processing and analysis of vast datasets. Highquality wellmanaged data forms the critical foundation for our quantitative research strategy development and automatedtrading systems.
As a Data Engineer within our Quantitative Platform team you will playa pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You willbe responsible for the endtoend lifecycle of diverse datasets including market fundamental and alternative sources ensuring their timely acquisition rigorous cleaning and validation efficientstorage 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 ultimatelyproviding the highfidelity readily available data essential for developing and executing sophisticated investmentmodels in a fastpaced environment.
Your responsibilities will include:
- Evaluating onboarding and integrating complex data products from diverse vendors serving as akey technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
- Designing implementing and optimizing robust productiongradedata pipelines to transform raw vendor data into analysisready datasets adhering to softwareengineering 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 theefficacy of our quantitative strategies.
- Providingexpert operational support for our data pipelines rapidly diagnosing and resolving criticalissues to ensure the uninterrupted flow of highavailability data powering our daily trading activities.
- Participating actively in team rotations including oncall schedules to provide essential coverage and maintain the resilience of our datasystems outside of standard business hours.
What we are looking for:
- 5 years experience building ETL/ELT pipelines using Python and pandas within a financial environment.
- Strong knowledge of relational databases and SQL.
- Familiarity with various technologies such as S3 Kafka Airflow Iceberg
- Proficiency working with large financial datasets from various vendors.
- A commitment to engineering excellence and pragmatic technology solutions.
- A desire to work in an operational role at the heart of a dynamic datacentric enterprise.
- Excellent communication and collaboration skills and the ability to work in a team.
What would be advantageous:
- Strong understanding of financial markets.
- Experienceworking with hierarchical referencedata models.
- Provenexpertise in handling highthroughput realtime marketdata streams
- Familiarity with distributed computing frameworks suchas Apache Spark
- Operational experience supporting real time systems.
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.
Employment Type
Full Time
