Software Developer - Data Analytics Team

Summary

Build and maintain internal data applications, pipelines, and APIs using Python (Dash/FastAPI) and AWS for a systematic hedge fund's analytics team in London.

Overview

Our client, a leading systematic hedge fund, is seeking a talented Software Developer to join their Business Data Analytics team in London. This is a unique opportunity to work closely with senior stakeholders, transforming complex data into high-impact tools that drive strategic decision-making across the business. You will collaborate with cross-functional teams to transform both internal and external data into high-value insights, empowering senior stakeholders in their strategic decision-making. By connecting tools, you will help unlock richer analytics and enable further LLM-driven applications.

You will be pivotal in developing and enhancing data-driven applications, building and maintaining data pipelines, APIs, and backend queries for production tooling. You will identify and proactively implement automation opportunities to improve efficiency. The ideal candidate will have a strong background in Python development, especially with web frameworks, cloud infrastructure, and front-end technologies, with a passion for building clean, user-focused tools. The ideal candidate has a user-focused mindset with attention to design and performance and able to manage their own development pipeline.

Key Responsibilities

  • Develop, enhance, and maintain internal data applications using Python Dash.
  • Convert data prototypes into scalable, responsive, production-ready tools.
  • Build and manage cloud-based data workflows, pipelines, and integrations on AWS.
  • Design modular, reusable components and APIs for internal dashboards and tools.
  • Identify and implement automation opportunities to streamline operations.

Qualifications

  • 3-5 years of relevant experience and computer science degree.
  • Strong proficiency in Python, especially with web frameworks like Dash or FastAPI.
  • Experience with AWS fundamentals and cloud infrastructure basics.
  • Knowledge of API design, SQL/NoSQL databases, and integration of multiple systems.

Seniority level

  • Entry level

Employment type

  • Full-time

Job function

  • Finance

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See also

Data Analytics jobs by country — openings, pay and top skills →

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