At a Glance
- Tasks: Manage quantitative risk models and develop innovative risk solutions for financial products.
- Company: Join LCH, a leading clearing house within the London Stock Exchange Group.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a commitment to equal opportunities.
- Why this job: Make an impact in finance by enhancing risk management strategies and tools.
- Qualifications: Degree in relevant field and 5+ years in Quant Risk Management required.
The predicted salary is between 70000 - 90000 € per year.
Part of the London Stock Exchange Group (LSEG), LCH is a leading clearing house, serving major international exchanges and platforms, as well as a range of OTC markets. In particular, LCH is a leading CCP in Equity and Repurchase agreement (Repo) businesses, providing clearing services for most European Government debts (refinancing/repo transactions) and Equities trading venues (Exchanges and MTFs). LCH works closely with market participants to identify and develop innovative clearing solutions.
The role sits within the RepoClear, EquityClear and Collateral and Liquidity (CALM) In‑Business Risk Team. This is a first line risk role within the business risk team.
Business Quant Risk Team Accountability- Ownership of the Margin models for all three businesses
- Risk Governance Presentation through both internal and external risk governance
- Regulatory liaison covering all model change
- Implementing margin algorithms (Pricing models, risk models and parameter calibration)
- Implementing software applications for Risk IT systems
- Designing and building Risk IT systems consistent with EMIR regulation and LCH internal policies
- Writing Business requirement for IT teams
- Developing and implementing quantitative solutions
- Prototyping and testing (UAT)
- Implementation of Market Data and Risk related projects
- Prototyping and developing front‑end risk IT tools addressing various types of risk and financial products
- Analysis and implementation of performance improvements to the existing risk (VaR) models across different products
- Maintenance and support of the existing risk libraries and risk simulators
- Project work and SME input and implementation of Market Data and Risk related change/projects – significant involvement is required for any development relating to instrument data or validation changes.
- Analysis of the clearing data to look for trends and new business opportunities for LCH.
- Validation/Analysis/Development of the compression and netting algorithms
- Degree level education.
- 5+ years of experience in Quant Risk Management in the Finance industry.
- Strong programming skills (Java, R, Python).
- Sound conceptual / technical knowledge of modern IT infrastructure stack.
- Autonomy, problem solving skills.
- Effective communication skills (written and oral).
- Ability to work in a team delivery environment.
We 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.
Quantitative Risk Manager employer: LSEG
As part of the London Stock Exchange Group, LCH offers a dynamic and inclusive work environment where innovation thrives. Employees benefit from a strong focus on professional development, with opportunities to engage in cutting-edge projects within the financial sector. The collaborative culture fosters teamwork and creativity, making it an excellent place for those looking to make a meaningful impact in quantitative risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and risk management sectors, especially those connected to LCH. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got programming chops in Java, R, or Python, consider creating a small project or tool that showcases your quantitative risk management abilities. Share it on platforms like GitHub to catch the eye of recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of margin models and risk governance. Be ready to discuss how you've tackled similar challenges in the past. We want to see your problem-solving skills in action!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Quantitative Risk Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk Manager role. Highlight your experience in risk management, programming skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our team at LCH. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Since this role requires strong programming skills, make sure to mention your proficiency in Java, R, or Python. If you’ve worked on any relevant projects or developed quantitative solutions, don’t forget to include those details!
Apply Through Our Website:We encourage you to apply 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 LSEG
✨Know Your Numbers
As a Quantitative Risk Manager, you'll need to be comfortable with numbers and data. Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Prepare examples of how you've implemented margin algorithms or improved risk models in the past.
✨Showcase Your Programming Skills
Since strong programming skills are essential for this role, make sure you can talk about your experience with Java, R, and Python. Bring along any relevant projects or code snippets that demonstrate your technical prowess and problem-solving abilities.
✨Understand the Regulatory Landscape
Familiarise yourself with EMIR regulations and how they impact risk management. Be prepared to discuss how you've navigated regulatory requirements in previous roles and how you would approach compliance in this position.
✨Communicate Effectively
Effective communication is key in this role, especially when liaising with internal teams and external stakeholders. Practice articulating complex concepts clearly and concisely, and think about how you can convey your ideas during the interview.
