At a Glance
- Tasks: Develop and enhance risk models for derivatives, ensuring robust analytics and margin calculations.
- Company: Fast-growing international financial services firm with a focus on innovation.
- Benefits: Competitive salary, career advancement, and a dynamic work environment.
- Other info: Exciting opportunity for growth in a collaborative and forward-thinking company.
- 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 70000 - 90000 € per year.
Talensa are partnered with a fast growing and innovative International Financial Services Markets Infrastructure and Consulting firm. 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 Risk Developer – Derivatives Portfolio risk employer: Talensa
Talensa is an exceptional employer, offering a dynamic and innovative work environment in the heart of London. With a strong focus on employee growth, we provide ample opportunities for professional development and collaboration with industry experts in financial services. Our culture promotes creativity and efficiency, making it an ideal place for those looking to make a meaningful impact in quantitative risk development.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Developer – Derivatives Portfolio risk
✨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 involving Python, risk modelling, or analytics. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to derivatives and risk management. Practice coding challenges in Python and be ready to discuss your thought process and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Risk Developer – Derivatives Portfolio risk
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk 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 helps us see your practical application of skills.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role and how you can contribute to our team. Be genuine and express your passion for quantitative development and financial services. We love to see enthusiasm!
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 shows you’re keen on joining our innovative team at StudySmarter!
How to prepare for a job interview at Talensa
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and knowledge of risk modelling. Be prepared to discuss specific methodologies like the Initial Margin Model (IMM) and how they apply to derivatives. This will show that you’re not just familiar with the concepts but can also engage in meaningful discussions about them.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your previous projects. Practise coding challenges and be prepared to discuss how you've used libraries like Pandas and NumPy in your work.
✨Understand the Regulatory Landscape
Familiarise yourself with relevant regulatory frameworks such as BCBS-IOSCO and UMR margin requirements. Being able to articulate how these regulations impact risk management and derivatives pricing will set you apart from other candidates. It shows you understand the bigger picture in financial services.
✨Collaborate and Communicate
This role involves working closely with various teams, so highlight your collaboration skills. Prepare examples of how you've worked with quantitative analysts, risk managers, or tech teams in the past. Good communication is key, so practice explaining complex concepts in simple terms.
