Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Software Developer

CompatibL
City of London
2 days ago
Create job alert

CompatibL, a leading provider of custom software development services, market and credit risk solutions and model validation consultancy for the financial industry, is looking to hire a Quantitative Software Developer to join our team in London.

Joining CompatibL is a unique chance that provides the opportunity to work alongside experienced professionals on impactful, quantitative projects across North and South America, Europe, the Middle East, Africa, CIS and South Asia. With individual coaching and continuous feedback, this opportunity enables you to learn a diverse set of models and techniques across multiple client projects and advance your quant skills faster compared to working on a single project in a bank.

Don’t miss this opportunity to gain valuable experience in a highly competitive and demanding field of quant research.

What will you be doing?

  • You will work together with the team of senior quantitative analysts on comprehensive model validation and challenging quantitative consultancy projects.
  • You will help delivering best-in-class trading and risk enterprise software for the financial markets industry.
  • You will support and liaise directly with customers in Europe, and collaborate with business development and marketing teams to help grow CompatibL’s business in Europe.

What are we looking for?

  • C ++/C #/Python, but cross-language preferred
  • A degree in mathematical finance or math, physics, or computer science
  • Data analysis skills
  • Algorithmic mindset

What additional skills will help you stand out?

  • Knowledge of quantitative finance is not a must but will give more priority
  • Experience with QuantLib
  • Strong personal and presentation skills

About CompatibL

CompatibL was founded in 2003 and delivered its first software product, a real-time PFE-based limit management system, to a top US investment bank in 2004. Today, CompatibL provides trading and risk management solutions to some of the largest financial institutions worldwide, including 4 out of 5 largest dealers, 33 central banks and some of the world’s largest asset managers in the Americas, EMEA, and APAC.

CompatibL’s quantitative research program has produced multiple innovations in models and numerical methods for counterparty credit risk, settlement risk, risk premia in the yield curve, adjoint algorithmic differentiation, and many others.

The team counts over 300 highly skilled quantitative analysts, financial engineers and developers located in the USA, Europe and Singapore.

Job Type

Full-time, Contract

Benefits

Flexible schedule

  • Day shift
  • Flexible hours
  • Yearly bonus

If you’re interested in becoming a part of CompatibL, send your CV to .


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer Python SQL

Graduate Software Developer / Quantitative Developer / Quantitative Researcher - Up to £160,000[...]

Software Developer, Quantitative Development Team

Quantitative Developer, C++ - Trading Teams EMEA

Quantitative Developer Python C++ - MFT

Software Developer (Research Infrastructure) - £350/500,000 - Quantitative Trading

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.