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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 in London 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 in London
✨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, C++, or Java. This will give you an edge and demonstrate your expertise in risk modelling and analytics.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative skills and programming knowledge. Practice coding challenges and be ready to discuss your experience with risk calculations and margin methodologies.
✨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.
We think you need these skills to ace Quantitative Analyst / Modelling - Derivatives Risk - IMM Solution in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming skills in Python and any relevant experience in risk management or derivatives pricing. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your background aligns with our needs. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Since this role requires strong programming skills, don’t shy away from mentioning your proficiency in Python, C++, or Java. If you've worked with data handling libraries like Pandas or NumPy, make sure to include that too. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
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 Model (IMM) and how they relate to derivatives pricing. This will show that you’re not just a programmer, but someone who understands the financial implications of your work.
✨Show Off Your Programming Skills
Since strong programming skills in Python are mandatory, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that showcase your experience with Python, C++, or Java, especially in the context of financial services.
✨Familiarise Yourself with Regulatory Frameworks
Understanding regulatory frameworks like BCBS-IOSCO and UMR margin requirements is crucial for this role. Make sure you can explain how these regulations impact risk management and derivatives. This knowledge will set you apart as a candidate who is not only technically skilled but also aware of the broader industry landscape.
✨Prepare for Team Collaboration Questions
This role involves working closely with quantitative analysts and risk managers, so expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully worked in a team to solve complex problems. Highlight your communication skills and how you ensure alignment with different stakeholders.