Python Developer

Nutanix; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a leading hedge fund as a Python Developer in a dynamic Quant Technology team. This role offers the chance to build and maintain innovative analytics and trading support tools, directly impacting global trading operations. You'll work alongside top-tier professionals, enhancing your skills in a fast-paced FinTech environment. With a focus on developing back-end distributed systems and microservices, you'll leverage cutting-edge technologies to deliver critical risk and profit analysis. This is an unparalleled opportunity to grow your career while engaging with world-class financial technologies and global markets.

Qualifications

• Substantial experience in Python development and back-end systems.
• Ability to communicate effectively with senior stakeholders.

Responsibilities

• Develop and enhance back-end systems for real-time risk analysis.
• Collaborate with Quant researchers and tech teams in multiple locations.

Skills

Python

Client-Server Architecture

Distributed Computing

Microservices Design Patterns

Design Patterns

Algorithms

Data Structures

Effective Communication

Detail-oriented

Education

B.A. in Computer Science

Quantitative Field Degree

Tools

Git

GitHub

Docker

Kubernetes

NoSQL (MongoDB)

CI/CD

Job description

Python Developer

We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trading support tools. This team will develop and maintain the in-house models and pricing libraries, providing firm-wide live risk and Profit & Loss analysis to support global trading in Fixed Income, Commodities, Credit, and FX products. This is a unique opportunity to join one of the leading hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest levels. We offer a fast-paced environment with excellent international growth opportunities and exposure to world-class financial technologies and global markets.

Responsibilities

• Take part in the development and enhancement of the back-end distributed system, providing continuous and uninterrupted Risk and Profit & Loss information to Portfolio Managers and Risk Officers.
• Work closely with Quant researchers and developers, tech teams, middle office, and trading teams in London and New York/Miami.
• Build microservices on top of our new analytics library and integrate it into the existing system, using the latest technologies.

Requirements

• Substantial experience developing in Python.
• Experience in Client-Server, Distributed computing, and Microservices design patterns.
• Experience developing and maintaining back-end distributed systems.
• Good understanding of various Design Patterns, Algorithms & Data structures.
• Experience working with Git / GitHub.
• B.A. in computer science or another quantitative field.
• Ability to communicate effectively with senior stakeholders across the organization.
• Able to work independently in a fast-paced environment.
• Detail-oriented, organized, demonstrating thoroughness and strong ownership of work.

Additional valuable skills (nice to have, but not essential)

• Experience with Docker/Kubernetes.
• Experience with NoSQL like MongoDB.
• Experience with asynchronous programming in Python and use of the asyncio library.
• Experience with reactive and/or functional programming.
• Experience working in a Linux environment.
• Experience with Continuous Integration and Deployment (CI/CD).
• Experience developing in Java or C++ with good understanding of the Modern C++ standards.
• Experience developing Cross Asset Pricing and Risk Systems.
• Experience with financial mathematics and statistics.
• Experience in the financial industry.