Data Production Engineer

Job Description

Hudson River Trading is seeking a Data Production Engineer to join its Data team in London. The successful candidate will play a crucial role in supporting the company's automated trading systems by writing automation, exploring data, and working closely with research and trading teams, as well as interacting with external partners.

Responsibilities:

• Write tools to classify, onboard, and reconcile data.
• Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Parse, analyze, and understand data sets.
• Perform data reconciliations, validations, and quality checks.
• Identify and develop new processes within the data request process to enrich data.
• Assist our researchers in cleaning and featurizing data
• Find anomalies in derived datasets and trace the issues back to their source.
• Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Requirements:

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline
• Experience in Python strongly preferred
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus

What Hudson River Trading Offers:

• Opportunity to work directly with live trading teams
• Opportunity to acquire, analyze, and prepare data for quantitative research.