Python Quantitative Developer, Assistant Vice President (AVP)

Join Citi's esteemed Quantitative Analysis team as a Python Quantitative Developer, Assistant Vice President (AVP). Contribute to the development of critical quant infrastructure, databases, and productivity tools, and collaborate with global teams to solve complex financial mathematics problems.

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, a proven track record of Python projects, and testing experience with pytest
• Proficiency in web development with React is a significant advantage
• Good understanding of distributed infrastructures (MQs, service discovery, AsyncIO, SQL, Elastic Search, MongoDB) is an advantage
• Understanding Q/KDB is an advantage
• Strong analytical and problem-solving skills are an advantage
• 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
• Exposure to Regulatory-based projects such as Model Risk, Basel III, Stress Testing, FRTB, and CCAR is a plus
• A meticulous and detailed approach, with a commitment to accuracy, is essential
• Ability to follow established procedures and operate within guidelines
• Excellent verbal and written English communication skills
• Ability to take ownership of tasks and proactively follow up on issues
• Demonstrated ability to work effectively in a team and to adapt to a fast-paced, high-pressure environment

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, online course libraries and upskilling platforms, such as Udemy and Degreed
• Flexible work arrangements to support you in managing work - life balance
• Career progression opportunities across geographies and business lines
• Socially active employee communities with diverse networking opportunities