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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, dynamic work environment, and opportunities for professional growth.
- Other info: Exciting career progression in a collaborative and innovative atmosphere.
- Why this job: Join a cutting-edge team and make a real impact in financial risk management.
- Qualifications: Master’s degree in a quantitative field and strong programming skills in Python.
The predicted salary is between 60000 - 80000 £ 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 Analyst / Modelling - Derivatives Risk - IMM Solution employer: Talensa Partners
Contact Detail:
Talensa Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst / Modelling - Derivatives Risk - IMM Solution
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those working in quantitative roles. Attend industry events or webinars to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects, particularly in Python and any quantitative models you've developed. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of risk modelling and derivatives pricing. Practice coding challenges and be ready to explain your thought process clearly—this is key for roles like Quantitative Analyst.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Quantitative Analyst / Modelling - Derivatives Risk - IMM Solution
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Analyst. Highlight your programming skills in Python and any experience with risk modelling or derivatives pricing. We want to see how your background fits perfectly with what we're looking for!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or during your studies, make sure to showcase them. We love seeing practical applications of your skills, especially in quantitative development and risk analytics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with our needs. We appreciate a personal touch that shows us you’ve done your homework on the company and the position.
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. Plus, it makes the process smoother for both you and us!
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 concepts like Initial Margin Models and derivatives pricing in detail. This will show that you’re not just familiar with the theory but can also apply it practically.
✨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 or explain your thought process while coding. Practising common algorithms or data handling tasks in Python can give you an edge.
✨Familiarise Yourself with Regulatory Frameworks
Understanding regulatory frameworks like BCBS-IOSCO and UMR margin requirements is crucial. Make sure you can discuss how these regulations impact risk management and derivatives pricing. This knowledge will highlight your readiness for the role and your awareness of industry standards.
✨Prepare for Collaboration Questions
This role involves working closely with various teams, so expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully worked with others to achieve a goal, especially in a quantitative or financial context.