At a Glance
- Tasks: Collaborate on model validation and quantitative consultancy projects in finance.
- Company: Join CompatibL, a leader in custom software for the financial industry since 2003.
- Benefits: Gain hands-on experience, individual coaching, and work on impactful global projects.
- Why this job: Accelerate your quant skills while working with top professionals in a dynamic environment.
- Qualifications: Proficiency in C++, C#, or Python; degree in maths, physics, or computer science required.
- Other info: Opportunity to engage with major financial institutions and enhance your career in quant research.
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 deliver 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.
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
Familiarise yourself with CompatibL's projects and the specific technologies they use, such as C++, C#, and Python. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in their work.
✨Tip Number 2
Network with current or former employees of CompatibL on platforms like LinkedIn. They can provide insights into the company culture and the skills that are most valued, which can give you an edge in your application process.
✨Tip Number 3
Brush up on your quantitative finance knowledge, even if it's not a strict requirement. Understanding key concepts will not only boost your confidence but also show your commitment to the field during discussions with the hiring team.
✨Tip Number 4
Prepare to discuss your problem-solving approach and algorithmic mindset in detail. Be ready to share examples from past experiences where you've tackled complex challenges, as this aligns closely with the role's requirements.
We think you need these skills to ace Quantitative Software Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in C++, C#, or Python, as well as any projects related to quantitative finance. Emphasise your data analysis skills and algorithmic mindset.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role at CompatibL and explain how your background in mathematical finance or computer science aligns with their needs. Mention any experience with QuantLib if applicable.
Showcase Your Projects: If you have worked on any quantitative projects or software development, include them in your application. Provide brief descriptions of your contributions and the impact of these projects.
Prepare for Technical Questions: Be ready to discuss your technical skills and problem-solving abilities during the interview process. Brush up on relevant algorithms and quantitative methods that may be applicable to the role.
How to prepare for a job interview at CompatibL
✨Brush Up on Your Programming Skills
Make sure you're comfortable with C++, C#, and Python, as these are key languages for the role. Be prepared to discuss your experience with these languages and possibly solve coding problems during the interview.
✨Understand Quantitative Finance Basics
While knowledge of quantitative finance isn't mandatory, having a grasp of the fundamentals can set you apart. Familiarise yourself with concepts like risk management, model validation, and trading strategies to demonstrate your interest and initiative.
✨Prepare for Technical Questions
Expect technical questions that assess your algorithmic mindset and data analysis skills. Practice explaining your thought process clearly and concisely, as this will showcase your analytical abilities and problem-solving skills.
✨Showcase Your Communication Skills
Since the role involves liaising with customers and collaborating with various teams, strong personal and presentation skills are essential. Prepare examples of how you've effectively communicated complex ideas in the past to highlight your suitability for the position.