Software Engineer - Mid Level

Quant Insight; Greater London; Híbrido; GBP 52.000 - 80.000; Jornada completa

Descripción de la vacante

Quant Insight is seeking a Mid-Level Software Engineer to help build the software behind our quantitative financial products. This hands-on role sits at the intersection of software engineering and quantitative finance, collaborating with in-house quants and engineers to move ideas from concept to production.

You will design, implement, test, and deploy production financial software using Python and C++, build customer-facing APIs, and develop services on AWS, with involvement across the full

Formación

• 2+ years of professional software engineering experience.
• Proficient with Python and C++/C.
• Experience with AWS services (EC2/ECS/DynamoDB).
• Familiar with Git workflows and CI/CD processes.

Responsabilidades

• Design, implement, test, and deploy production financial software.
• Develop customer-facing APIs and applications.
• Turn quantitative models into robust production systems.
• Work with AWS-backed services and maintain production systems.
• Participate in code reviews and CI/CD discussions.

Conocimientos

Python

C++

C

Data structures

Algorithms

AWS

EC2 ECS DynamoDB

Git

CI/CD

REST APIs

Educación

Degree in Computer Science or related quantitative field

Herramientas

Docker

Descripción del empleo

Quant Insight is looking for a Mid-Level Software Engineer to join our engineering team and help build the software behind our quantitative financial products.

This is a hands-on role working at the intersection of software engineering and quantitative finance. You'll work closely with software engineers and in-house quants to take financial algorithms and product ideas from concept through to production.

What You'll Be Doing

• Design, implement, test, and deploy production financial software.
• Work primarily with Python and C++.
• Turn quantitative models and financial algorithms into robust production systems.
• Build and maintain customer-facing APIs and applications.
• Develop and maintain services running on AWS.
• Work across the full software lifecycle, from design through deployment and ongoing support.
• Participate in code reviews, technical discussions, and CI/CD processes.
• Diagnose and resolve issues in production systems.

What We're Looking For

• 2+ years of professional software engineering experience.
• Strong understanding of data structures and algorithms.
• Professional experience with Python, C++, and/or C.
• Experience with AWS, ideally including EC2, ECS, and/or DynamoDB.
• Experience with Git and collaborative software development workflows.
• Understanding of HTTP, DNS, and networking fundamentals.
• Experience with CI/CD and automated testing.
• Ability to independently design, implement, and deploy software, with work reviewed by senior engineers.
• Strong problem-solving and communication skills.

Nice to Have

• Experience in financial markets, quantitative finance, or fintech.
• Degree in Computer Science, Mathematics, Physics, Electrical/Electronic Engineering, or a related quantitative discipline.
• Experience with MySQL and database design.
• Experience with Docker/containerisation.
• Experience working with quantitative researchers, mathematical models, or large/time-series datasets.
• Experience developing REST APIs or other web services.

Why Quant Insight?

You'll have the opportunity to work closely with experienced quantitative researchers and engineers, solving interesting problems at the intersection of finance, mathematics, and software engineering.

You'll have ownership over production systems and the opportunity to see your work go from a quantitative idea all the way to a customer-facing product.

Location:

Hybrid — 4 days in the office, 1 day remote