Python Developer - Rapid Application Development - Fixed Income

Millennium Management; London; On-site; GBP 60,000 - 80,000

Job description

Python Developer - Rapid Application Development - Fixed Income

We are expanding our Fixed Income Technology team and in particular growing our London Fixed Income Rapid Application Development (RAD) team. This is a specialist team of engineers, quantitative developers and data scientists offering tactical delivery capabilities to our Portfolio and Risk Managers. The team primarily develops solutions in Python but will partner closely with a variety of different Portfolio Management teams and therefore interact with a wide variety of technologies.

Responsibilities

• Work with portfolio management and risk teams to turn ideas into practical solutions, rapidly iterating from prototype to a production delivery
• Automate data retrieval and custom analytics, in various delivery formats, that combine internal and market data sources
• Design and build data visualizations and user interfaces to visualize data trends and facilitate custom workflows
• Fit into the active and dynamic culture of Millennium - the ability to deliver timely solutions to portfolio and risk managers, working within a diverse range of teams and technologies
• Partner with Fixed Income Management team to capture requirements, monitor delivery, and manage expectations
• Maintain, support, and improve capabilities as new requirements arise

Mandatory Requirements

• Advanced degree in computer science or any other scientific fields
• Experience with financial markets (rates/fx/credit)
• Experience with financial mathematics/modeling/statistics
• 3+ years of development experience with Python (pandas/numpy, etc.) or C++/Java
• Strong analytical skills
• Strong problem solving capabilities
• Experience working in a production environment
• Solid communication skills
• Able to work independently in a fast-paced environment
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Preferred Requirements

• Proficiency in data science stack with Python.
• Experience with cloud technologies