Data Engineer

A modern B2B company active in the financial services space is looking to hire a Data Engineer. The selected candidate will join the team with strong programming abilities and assist in building out the quantitative research platform. The U.S.-based company is committed to delivering all the services of a traditional investment bank by leveraging data and data science. This will be an excellent opportunity to deliver high-quality software solutions in a fast-paced environment.

Job Responsibilities:

• Design and develop a Cloud-native high-performance quantitative research platform
• Build scalable systems for distributed model fitting and signal generation on the research platform
• Develop pipelines and tools for ingesting new datasets onto the research platform
• Create, monitor, and maintain production data pipelines required for daily trading activity
• Develop data quality metrics and reporting to ensure mission-critical datasets are consistent and reliable
• Design and implement metadata tools such as data catalogs, feature stores, and signal catalogs
• Work closely with quantitative researchers to design and support advanced research capabilities
• Collaborate with data engineering teams to share knowledge and best practices across the firm

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Excellent problem-solving skills with the ability to work on longer-term ambiguous projects
• A minimum of 3+ years of professional Python programming experience
• Prior experience with the Python scientific computing stack (NumPy, pandas, etc.).
• Demonstrable experience with distributed systems, especially distributed computing systems
• Excellent written and verbal communication skills for coordinating across teams
• Nice to have experience in AWS and Dask
• Experience in Prefect and Finance
• Fluent in verbal and written English