Data Scientist

Requirements

• 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering
• Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy
• Demonstratable interest in financial markets and the application of data in its analysis and understanding
• Experience working with both traditional and alternative financial datasets
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

What You'll Be Doing

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
• Proactively solving data related problems in order to minimise time to production
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production

Perks and Benefits

• Equal opportunity employer fostering diversity for success
• Empowerment to work openly and respectfully for collective success
• Initiatives and programs for achieving a healthy work-life balance