IT & Software

Research Data Expert

Hudson River Trading

London · Greater London · United Kingdom

Overview

In this role you optimize and deliver fully featurized datasets to support statistical modeling and automated trading at HRT. You will own a data domain, mentor junior engineers, and collaborate with researchers to drive data-driven alpha and risk insights. You manage the full data pipeline from vendor ingestion to trading-ready features and implement robust quality checks. This position sits at the crossroads of data, research, and execution in a culture that values rigorous, cross-functional collaboration and continuous improvement. You will shape data delivery that underpins research and trading at scale.

Pay / Benefits
  • base salary 200,000 to 300,000 USD per year
  • discretionary performance-based bonuses
  • competitive benefits package
Responsibilities
  • Develop and maintain fully featurized datasets for statistical modeling research
  • Serve as the subject matter expert for a designated data domain
  • Provide technical support and guidance to researchers on vendor data and derived datasets
  • Mentor and direct junior data engineers, including code and data output validation
  • Partner with the sourcing team to identify and evaluate new data procurement opportunities
  • Analyze data to identify and improve alpha
  • Manage the full end-to-end data pipeline, from raw vendor ingestion to refined feature sets
  • Provide on-call support for data issues during normal business hours
  • Design and implement automated data quality checks and monitoring alerts
Key requirements
  • Strong programming skills (Python/R preferred)
  • 5+ years of professional experience in a specific data domain (e.g., alternative data, fundamentals, security reference, or economic data)
  • Proven track record of building alpha through detailed data analysis
  • Exceptional attention to detail
  • Undergraduate degree in a STEM field
  • Attention to detail
  • Mentoring and guidance
  • Cross-functional collaboration
  • Python
  • R
  • data science methodologies

Reference: WJ-747_31001710

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

Find more on GigBlows

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.