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- Tasks: Develop and enhance risk models for derivatives, ensuring robust analytics and margin calculations.
- Company: Fast-growing financial services firm in the heart of London.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Why this job: Join a cutting-edge team and make a real impact in financial risk modelling.
- Qualifications: Master’s degree in a quantitative field and strong programming skills in Python.
- Other info: Exciting opportunities for professional development and collaboration with industry experts.
The predicted salary is between 48000 - 72000 £ 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 Margin Modelling (preferable), 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 Risk Modelling employer: Talensa Partners
Contact Detail:
Talensa Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Derivatives Risk Modelling
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to risk modelling or quantitative development. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills, especially in Python. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Developer - Derivatives Risk Modelling
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. We want to see how your background fits 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 calculations or risk analytics, let us know! This helps us see your practical application of skills.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your skills align with our needs. We appreciate straightforward communication!
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 hear from you!
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 derivatives 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 from other candidates and show that you understand the bigger picture.
✨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.
