Data Scientist - Market Data

• Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions
• Develop Python code to extract, clean, normalise 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

• 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
• 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
• 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

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. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.