Requirements

• 2 to 5 years of experience in a data focused role working with financial or market data
• Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets
• Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars
• Experience designing, building and maintaining automated production data pipelines
• Strong data analysis and problem-solving skills, with the ability to investigate data quality issues and understand their underlying causes
• Postgraduate degree in Mathematics, Physics, Engineering, Computer Science, or another quantitative discipline
• Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders, and other stakeholders
• Ability to operate effectively as priorities, systems, projects, and business requirements evolve

What You'll Be Doing

• Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions
• Develop Python code to extract, clean, normalize, and aggregate data from a range of financial market data sources
• Design, build, and maintain automated data pipelines covering sourcing, extraction, transformation, validation, and delivery
• Develop and maintain pricing and reference datasets across financial instruments and markets
• Investigate and resolve data quality and production issues to improve the reliability and availability of datasets
• Evaluate and implement new approaches to data extraction, processing, and onboarding
• Take ownership of production data workflows and evolve them as data requirements, systems, and business priorities change

Nice to Haves

• Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE, or Data License

Perks and Benefits

• QRT is an equal opportunity employer that values diversity
• Initiatives and programs are offered to enable employees to achieve a healthy work-life balance