Hudson River Trading est une société de trading quantitatif qui développe des technologies de négociation et fournit de la liquidité sur les marchés financiers.
Research Data Engineer
Hudson River Trading recrute un Research Data Engineer au sein de son équipe Data à Londres. Le poste consiste à intégrer, nettoyer, normaliser et enrichir des jeux de données pour la recherche quantitative, tout en développant des contrôles automatisés de qualité. Il requiert notamment une solide maîtrise de Python, des compétences en data science, en analyse statistique et un diplôme de premier cycle dans un domaine STEM.
Repères sur Hudson River Trading
- Domaine officiel
- hudsonrivertrading.com
- Offres ouvertes
- 41
Détails de l’offre
La description complète publiée par Hudson River Trading.
Description de l’offre
Hudson River Trading (HRT) is seeking a Research Data Engineer to join our Data team. Data is a cornerstone of HRT’s trading strategies, serving as the raw fuel that powers research, automated trading, and risk management. You will be responsible for developing the end to end of onboarding vendor data, cleaning and validating, normalizing, and featurizing the data for alpha research, as well as ensuring high-quality service via rigorous data checks and alerts. HRT does not have information siloes!
You will work directly with researchers to build datasets that add value to our trading strategies while developing expertise in one area of data and how alpha is built from careful data analysis.
Responsibilities
Onboard, normalize, and featurize datasets for statistical modeling research
- Serve as the subject matter expert for datasets you onboard, building expertise in some area of data
- 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
Qualifications
Strong Python programming skills - Proficiency in data science methodologies - Fluency in data analysis and statistics - Demonstrated interest in finance - Exceptional attention to detail - Undergraduate degree in a STEM field The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech.
We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT?
Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you. Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses.
If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended. You can review our Global Applicant Privacy Notice , which explains how we process applicant information.
Prérequis
- Proficiency in data science methodologies
- Fluency in data analysis and statistics
- Demonstrated interest in finance
- Exceptional attention to detail
Avantages mentionnés
- discretionary performance-based bonuses
- competitive benefits package
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