Senior Software Engineer, Post-Trade

Winton Capital US LLC

Greater London

On-site

GBP 110,000 - 140,000

Full time

14 days+

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Job summary

Winton Capital US LLC is seeking a Senior Software Engineer to design, build, and evolve resilient, cloud-distributed systems. You will work across the full engineering lifecycle, gathering requirements directly from the business and owning solutions end-to-end.

The role emphasizes practical delivery, collaboration with operations and fund accounting, and the intelligent use of AI-assisted development tools to improve platforms while balancing innovation and delivery.

Qualifications

  • Bachelor's or master's degree in a STEM subject.
  • 5+ years of full-time software development experience.
  • Experience with cloud-distributed, event-driven or microservices in C#/.NET.
  • Strong CS fundamentals and clean-code discipline.
  • Interest in AI-assisted development tools.
  • Ability to gather requirements and own end-to-end solutions.

Responsibilities

  • Design, build and evolve resilient cloud systems.
  • Own end-to-end solutions from requirements to delivery.
  • Collaborate with operations, fund accounting and management colleagues.
  • Improve platforms with AI-assisted tooling.

Skills

5+ years experience
Cloud-distributed systems
Event-driven
C#/.NET
Test automation
Clean code
AI-assisted tools
Team collaboration
Problem solving

Education

Bachelor's or Master's in STEM

Tools

Angular
TypeScript
PostgreSQL
MSSQL
AWS
Docker
Kubernetes

Job description

We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting. You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery. You will be part of a friendly and collaborative team responsible for post-trade and reporting software development. The role involves working closely with operations, fund accounting, and other teams across the business including senior management - there is no BA layer, you will gather requirements directly from the business, design solutions and own them end-to-end. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.

What We Are Looking For
  • A bachelor's or master's degree in a STEM subject
  • 5+ years of full-time professional software development experience
  • Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred)
  • Strong computer science fundamentals
  • Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice
  • Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
  • Keen interest in keeping aware of latest technologies and a measured approach for adopting them
  • Comfortable problem solving across multiple technologies and business domains
  • Collaborative nature and ability to work in a team e.g. partnering with business users and technologists
  • Ability to have constructive technical discussions
What Would Be Useful
  • An interest or experience with Angular and Typescript
  • Familiarity with performance-tuning PostgreSQL and/or MSSQL
  • Experience in financial services
Technologies We Use
  • Web: Angular, TypeScript
  • Server-side: C#
  • Data: MSSQL, PostgreSQL
  • Cloud: AWS
  • Deployment: Docker, Kubernetes
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