National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Full Stack Developer - Quantitative Credit Trading

Thurn Partners
City of London
4 days ago
Create job alert

Company Insight

A dynamic, rapidly growing and flat-structured hedge fund led by a Credit Trading legend are looking to hire a full-stack developer into their Quant Technology team. Having launched in 2022, the firm has since experienced enormous growth in Capital and are now sitting at over $7bn. Such a growth trajectory is testament to the brilliant minds at the forefront of the firm as well as the advanced trading technology at their disposal, which they continue to innovate and deem as an integral part of their continued success.


Following this exponential growth, this young and exciting team are now looking to engage with a multi-talented full-stack developer possessing both Python and React.js proficiency to apply their talents to a growing number of greenfield projects as the business continues to scale. Given the firm's low headcount, flat structure and dynamic culture, there is fantastic opportunity for business impact, growth and progression given the upward trajectory and strong performance of the fund which is showing no signs of slowing down.


Responsibilities

  • Design, develop, and maintain internal web applications and tools used by trading/investment/operations/risk teams
  • Implement backend services and APIs in Python
  • Participate in code reviews, testing, and deployment processes
  • Learning a variety of modern technology frameworks and paradigms, including but not limited to Postgres, Docker, AWS, CICD, Redis.


Required Skills & Qualifications

  • 1 - 4 years of professional software and web development experience from in a front-office facing role within finance
  • Strong programming skills with Python
  • Strong programming skills with JavaScript (preferably React.js)
  • Knowledge of financial instruments and products
  • Strong quantitative background
  • Strong grasp of software engineering principles, debugging, and testing practices, use of Git
  • Experience using Front Arena or another OMS, other databases, experience with containerisation solutions, and experience with cloud hosting technologies are all desirable
  • Demonstrated passion for technology
  • Desire to keep learning and self-develop
  • Self-starter mindset with proactive problem-solving skills
  • Entrepreneurial mentality, with a strong interest in contributing to a fast-growing business
  • Excellent time-management skills, including the ability to juggle multiple priorities and meet deadlines
  • Solid work ethic, with ability to work in a fast-paced environment
  • Strong interpersonal and relationship-building skills, with ability to interact and engage with all levels across the business
  • Dedicated team player and strong sense of ownership

Related Jobs

View all jobs

Full Stack Developer - Quantitative Credit Trading

Full Stack Developer - Quantitative Credit Trading

Full Stack Developer – Data Warehouse

Full Stack Developer - Quantitative Credit Trading

Full Stack Developer - Quantitative Credit Trading...

Full Stack Developer - Quantitative Credit Trading

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.