Python Quantitative Developer

Citi is looking for a Python Quantitative Developer to join their esteemed Quantitative Analysis team. The role involves developing and maintaining critical quant infrastructure, databases, and productivity tools, and collaborating with IT teams to integrate analytic libraries. The ideal candidate will have a strong background in Python programming, software engineering, and analytical skills.

Requirements

• MSc in Software Engineering, Computer Science, Natural Sciences, or Economics
• 2-3 years relevant experience in a Quantitative Developer role or alternative Python development experience
• Proficiency in Python programming
• Proficiency in web development with React is a significant advantage
• A good understanding of distributed infrastructures is an advantage
• Understanding Q/KDB is an advantage
• Strong analytical and problem-solving skills are an advantage
• An understanding of derivatives pricing, risk, and exposure calculation concepts is an advantage
• Experience with calculation grids and grid computing concepts is an advantage
• Hands-on experience with Linux commands and shell is an advantage

Benefits

• Cafeteria Program
• Home Office Allowance (for colleagues working in hybrid work models)
• Paid Parental Leave Program (maternity and paternity leave)
• Private Medical Care Program and onsite medical rooms at our offices
• Pension Plan Contribution to voluntary pension fund
• Group Life Insurance
• Employee Assistance Program
• Access to a wide variety of learning and development programs