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- Tasks: Develop and enhance risk models for derivatives and analytics infrastructure.
- Company: Fast-growing financial services firm in the heart of London.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to work on cutting-edge projects.
- Why this job: Join a team at the forefront of financial innovation and make a real impact.
- Qualifications: Strong programming skills in Python and experience in quantitative development.
The predicted salary is between 70000 - 90000 £ per year.
Talensa are partnered with a fast growing and innovative Financial Services Markets Infrastructure and Consulting firm with office based in City, London. This is a great and versatile role, looking for a Quantitative Developer to join the team responsible for maintaining and enhancing Derivatives risk - Initial Margin Model (IMM) and related analytics infrastructure. This role combines quantitative expertise with strong programming skills to deliver robust, efficient, and scalable solutions for margin calculation and risk analytics.
Key Responsibilities
- Develop and maintain quantitative libraries for risk calculations, including risk weights, correlations, and historical volatility ratios.
- Implement and optimize IMM methodology within proprietary and vendor platforms.
- Collect, validate, and aggregate market and risk data from multiple sources.
- Develop and maintain backtesting, benchmarking and performance monitoring frameworks to validate IMM performance against historical P&L vectors.
- Build and enhance analytics platforms to support IMM processes and parameter recalibration.
- Collaborate with quantitative analysts, risk managers, and technology teams to ensure alignment, efficiency and enhancements for future processes.
Technical Skills and Knowledge
- Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages.
- Proficiency in data handling and analysis using Pandas, NumPy, and SQL.
- Familiarity with cloud-based solutions and version control (Git).
- Solid understanding of risk modelling, margin methodologies, and derivatives pricing.
- Knowledge of regulatory frameworks such as BCBS-IOSCO, UMR margin requirements, Standardised approach for regulatory capital (FRTB-SA) and or XVA Capital / Exposure modelling.
Education and Experience
- Master’s degree (or equivalent) in Mathematics, Physics, Computer Science, or a related quantitative discipline.
- Years of experience in quantitative development within financial services.
- Experience in risk management, derivatives risk / margin calculation, or analytics is highly desirable.
- Experience working within a consulting firm, or at a sell-side / buy-side financial institution.
This is a Technical Quant Development role requiring someone with some years exposure in either Derivatives risk / pricing - Margin Modelling (preferable), Market Risk (VaR) Capital Markets Risk modelling, Model Validation, Model development experience and now looking to take their career forward in a more industry leading way.
Quantitative Developer - Derivatives / Market Risk Modelling in London employer: Talensa Partners
Contact Detail:
Talensa Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Derivatives / Market Risk Modelling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and risk modelling. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to derivatives and risk analytics. Practise explaining complex concepts in simple terms – it shows you really know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace Quantitative Developer - Derivatives / Market Risk Modelling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Developer role. Highlight your programming skills in Python and any experience with risk modelling or derivatives pricing. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your quantitative expertise and programming skills. If you've worked on margin calculation or risk analytics, let us know! This is your chance to shine.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Talensa Partners
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and knowledge of risk modelling. Be ready to discuss specific methodologies, like the Initial Margin Model (IMM), and how you've applied them in past roles. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Practise coding challenges and be ready to explain your thought process clearly.
✨Understand the Regulatory Landscape
Familiarise yourself with relevant regulatory frameworks like BCBS-IOSCO and UMR margin requirements. Being able to discuss how these regulations impact risk modelling and margin calculations will set you apart as a candidate who understands the bigger picture in financial services.
✨Collaborate and Communicate
This role involves working closely with various teams, so highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated with quantitative analysts or risk managers in the past. This will demonstrate that you can work well in a team-oriented environment.