Lead Software Engineer

3 weeks ago


London, Greater London, United Kingdom Quantitative Hedge Fund Full time
Job Overview

Our client, a leading quantitative hedge fund, is in search of a seasoned software engineer at the staff or principal level, hailing from an organization recognized for its technological advancements. The ideal candidate will possess a track record of creating innovative technical solutions that can either enhance or revolutionize their respective industry, although experience in the financial sector is not a prerequisite.

This hedge fund is known for its discretion and success, and is looking for a product-oriented Staff / Principal Engineer to contribute to the development of their next-generation Quantitative Research platform.

Key Responsibilities

  1. Serve as a solution-oriented senior technical leader within the organization, delivering technical thought leadership and hands-on support for impactful projects.
  2. Collaborate closely with researchers and data scientists to develop iterative, insight-driven product solutions, ensuring the design and engineering of efficient, scalable, and robust systems.
  3. Tackle large-scale financial data challenges, optimizing service latency and performance for real-time data streaming and analytics.
  4. Identify and assess technical solutions and innovations that can provide a competitive edge and directly influence trading and portfolio management.
  5. Mentor and guide engineers at various levels, offering support on their technical development.
  6. Establish and uphold coding standards, conduct code reviews, and implement testing practices.
  7. Champion engineering best practices across teams.

Qualifications & Experience

  • Solid foundation in computer science with a strong command of data structures, algorithms, runtime complexity, API, and database design, holding at least a Bachelor's degree in Computer Science.
  • Proven ability to collaborate with sophisticated end users, including researchers and data scientists with advanced STEM qualifications at the MSc or PhD level.
  • Expertise in engineering platform solutions on systems of significant scale and complexity.
  • Extensive professional experience in object-oriented software development, particularly with Python, and Java or C++.


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