Requirements

• 3+ years of experience in Data Engineering or a similar role working with financial data
• Advanced Python development skills, including experience with libraries such as Pandas, Polars and NumPy
• Strong focus on correctness, with the ability to critically assess code and data quality regardless of source
• Experience working with SQL and relational databases
• Experience working with both traditional and alternative financial datasets
• Demonstrated interest in financial markets and the application of data to investment research and trading
• Excellent communication skills with the ability to collaborate with Quantitative Researchers, Traders, Engineers, management and external data providers
• Ability to operate effectively in a high performance environment with rapid delivery cycles

What You'll Be Doing

• Collaborate with Quantitative Researchers and Traders to design datasets that support systematic strategies and discretionary trading decisions
• Extract, clean and aggregate data from a wide range of raw sources and formats using QRT’s data framework
• Manage the full process of onboarding new datasets, from initial assessment through to production
• Investigate and resolve data issues to reduce the time required to make new datasets available to users
• Develop robust data extraction processes with a strong focus on correctness and data quality
• Explore and implement new approaches to data extraction that improve the tools available for onboarding complex datasets

Perks and Benefits

• QRT is an equal opportunity employer
• We welcome diversity as essential to our success
• QRT empowers employees to work openly and respectfully to achieve collective success
• Initiatives and programs to enable employees to achieve a healthy work-life balance