Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate on quantitative projects and develop cutting-edge software for the financial industry.
- Company: Join CompatibL, a leader in custom software and risk solutions.
- Benefits: Enjoy a flexible schedule, yearly bonuses, and professional growth opportunities.
- Why this job: Gain hands-on experience in a competitive field while working with top professionals.
- Qualifications: Proficiency in C++, C#, or Python; degree in relevant fields preferred.
- Other info: Dynamic team environment with global impact and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
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 jobs@compatibl.com.
#J-18808-Ljbffr
Quantitative Software Developer employer: CompatibL
Contact Detail:
CompatibL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Software Developer
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial industry, especially those working at CompatibL. Use LinkedIn to connect and engage with them; you never know who might refer you for that Quantitative Software Developer role.
✨Tip Number 2
Prepare for technical interviews by brushing up on your C++, C#, and Python skills. Practice coding challenges and be ready to discuss your algorithmic mindset. We want to see how you think and solve problems!
✨Tip Number 3
Showcase your passion for quantitative finance! Even if you don’t have extensive experience, demonstrate your eagerness to learn and grow in this field. Share any relevant projects or coursework that highlight your skills.
✨Tip Number 4
Don’t just send your CV; apply through our website! This shows your genuine interest in CompatibL and helps us keep track of your application. Plus, it’s a great way to stand out from the crowd!
We think you need these skills to ace Quantitative Software Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Software Developer role. Highlight your experience with C++, C#, or Python, and any relevant projects that showcase your algorithmic mindset. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of data analysis or quantitative projects you've worked on. This helps us understand your thought process and how you tackle challenges in the financial industry.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative finance and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CompatibL
✨Know Your Tech Stack
Make sure you’re well-versed in C++, C#, and Python, as these are key languages for the role. Brush up on your coding skills and be ready to discuss your experience with cross-language projects, as this will show your versatility.
✨Understand Quantitative Finance Basics
While deep knowledge isn’t mandatory, having a grasp of quantitative finance concepts can set you apart. Familiarise yourself with terms and models relevant to the financial industry, so you can engage in meaningful discussions during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle algorithmic challenges or case studies that test your analytical mindset. Practise solving problems on platforms like LeetCode or HackerRank, and be ready to explain your thought process clearly.
✨Showcase Your Communication Skills
Since you'll be liaising with customers and collaborating with teams, strong personal and presentation skills are essential. Prepare to discuss how you've effectively communicated complex ideas in past roles, and consider practising a mock presentation to boost your confidence.
