At a Glance
- Tasks: Join our team to implement and enhance risk model analytics for business growth.
- Company: Dynamic financial services firm based in London, fostering innovation and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional development.
- Other info: Join a diverse team committed to equal opportunities and career advancement.
- Why this job: Make a real impact in the finance sector while working with cutting-edge quantitative strategies.
- Qualifications: 2-5 years in quantitative analysis, strong coding skills in C++, and a Master's or PhD.
The predicted salary is between 60000 - 80000 € per year.
This London based role is for a quantitative strategist/analyst within CDSClear First Line Risk Quant Team.
Implementation of risk model analytics changes required to support business development, suggesting model improvements and documenting methodology for risk governance. Ensuring the analytics for model risk monitoring reports are maintained, produced and approved by the relevant governance. Supporting regular model validation reviews and guiding them through the methodology. Partnering with Second Line Risk, CDSClear IT Dev, CDSClear IT Test and CDSClear Risk Change to ensure a smooth transition to production deliveries.
Key Responsibilities- Define, prototype and test model changes required for business developments and document to obtain approval from internal and external governance.
- Define business requirements and corresponding test cases for CDSClear Risk model changes.
- Maintain risk methodology documentation for members and auditors to be able to review the details of CDSClear’s risk model, and for the CDSClear First Line Risk code to be understandable.
- Maintain the analytics tools and libraries required to produce the regular model risk monitoring reports and margin calculation.
- Provide SME support to answer queries from clients/members or regulators.
- Build and manage relationships with internal stakeholders, including model validation, second line risk, CDSClear IT devs, CDSClear IT test and CDSClear Risk Change to improve predictability, transparency and efficiency of all deliveries impacting CDSClear Risk Run.
- Quantitative strategist/analyst with 2-5 years experience working in a front office credit derivatives quant team.
- In depth knowledge of credit derivatives including one or more of (CDS Single name, CDS Index, CDS Index tranches, CDS Index Option, Credit CVA/XVA).
- Experience in coding in production quant libraries written in C++ (additional experience in Python or R an advantage).
- Educated to Master’s or PhD level in Mathematics, Statistics, Physics or related field.
- Rigorous and organised with excellent communication skills, able to coordinate with other teams to safely introduce market driven and CDSClear driven changes in production.
Senior Associate
Equal Opportunities StatementWe are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
CDSClear Quantitative Strategist in London employer: LSEG
As a leading employer in the financial services sector, our London-based team offers a dynamic work environment where innovation and collaboration thrive. We prioritise employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. Join us to be part of a forward-thinking organisation that not only champions professional development but also fosters meaningful contributions to the evolving landscape of credit derivatives.
StudySmarter Expert Advice🤫
We think this is how you could land CDSClear Quantitative Strategist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at CDSClear on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills and understanding of credit derivatives. We recommend practising common quant interview questions and scenarios to show off your expertise.
✨Tip Number 3
Showcase your coding skills! If you’ve worked with C++, Python, or R, be ready to discuss specific projects or challenges you’ve tackled. Real-world examples will make you stand out.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace CDSClear Quantitative Strategist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quantitative Strategist. Highlight your experience with credit derivatives and any relevant coding skills in C++, Python, or R. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:In your cover letter, don’t just list your qualifications—show us how you've applied them in real-world scenarios. Talk about specific projects where you implemented risk model analytics or collaborated with teams to improve processes. We love seeing practical examples!
Be Clear and Concise:When writing your application, keep it clear and concise. Use straightforward language and avoid jargon unless it's relevant to the role. We appreciate well-structured applications that are easy to read and get straight to the point.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the details you need right there. Plus, it helps us keep track of your application better!
How to prepare for a job interview at LSEG
✨Know Your Models Inside Out
Make sure you have a solid understanding of the risk models you'll be working with. Brush up on your knowledge of credit derivatives, especially CDS Single name and Index options. Being able to discuss specific model changes and their implications will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Coding Skills
Since coding in C++ is crucial for this role, be prepared to discuss your experience with production quant libraries. If you've worked with Python or R, mention that too! You might even want to bring along some code samples or projects to demonstrate your skills during the interview.
✨Communicate Clearly and Effectively
This role requires excellent communication skills, so practice articulating complex ideas simply. Be ready to explain how you would document methodologies and collaborate with various teams. Clear communication can set you apart, especially when discussing technical concepts with non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to implement model changes or handle stakeholder queries. Prepare to walk through your thought process and the steps you took to achieve successful outcomes.
