At a Glance
- Tasks: Analyse and develop risk management models for innovative financial products.
- Company: Join the London Stock Exchange Group, a leader in global financial markets.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
- Why this job: Make a significant impact in a dynamic environment with a focus on innovation.
- Qualifications: Degree in a relevant field and 2+ years in Quant Risk Management.
- Other info: Collaborative culture that values individuality and encourages new ideas.
The predicted salary is between 36000 - 60000 £ 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. As a member of the Quant team within the LCH Securities and CaLM First Line risk, the role is primarily focused on providing the quantitative analysis, development and specification for all risk management requirements for new products/services that are being introduced to LCH Securities clearing business or CaLM risk framework, as well as monitoring the performance and developing improvements to existing models. This includes the development and maintenance of risk management models and tactical applications, quantitative analysis and financial modelling, new product research and development, and other quantitative tasks as required on an ad-hoc or project basis. The development requires technical knowledge and development skills using programming languages, particularly Python and R. The role will also involve close liaison with the wider First Line Risk management team and other internal/external groups, e.g. Second Line Risk on a regular basis.
Responsibilities
- Design, development and maintenance of risk management models and applications.
- Development, maintenance and testing of in-house risk and pricing analytics library and quantitative solutions.
- Writing Business requirement for IT teams and support release cycle with prototyping and testing (UAT).
- Model validation of in-house risk analytics and pricing model.
- Timely and accurate analysis of quantitative risk issues.
- Contribute to improvements in existing risk management techniques and processes through the application of advanced quantitative methods.
- Research and development in relation to proposed new products.
- Review and assessment of existing and proposed margining methodologies.
- Provision of quantitative expertise in relation to internal/external projects or on an ad-hoc basis.
- Ensure that quantitative risk management techniques are kept in line with best practice.
- Risk Governance Presentation through both internal and external risk governance.
Experience and Skills
- Degree level education.
- 2+ years of experience in Quant Risk Management role or financial Risk Management in Finance industry.
- Good programming skills (Python, R).
- Sound conceptual/technical knowledge of modern IT infrastructure stack.
- Autonomy, problem solving skills.
- Effective communication skills (written and oral).
- Ability to work with team delivery environment.
Career Stage Senior Associate
About LSEG: Join us and be part of a team that values innovation, quality, and continuous improvement. If you are ready to take your career to the next level and make a significant impact, we would love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
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.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Quantitative Risk Analyst employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at LCH or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python and R, consider creating a small project or two to demonstrate your quantitative prowess. Share it on platforms like GitHub to catch the eye of recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on risk management concepts and quantitative methods. Be ready to discuss how you've tackled challenges in past roles and how you can contribute to LCH's innovative solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at LSEG.
We think you need these skills to ace Quantitative Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your experience with risk management models and programming skills in Python and R. 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 quantitative risk management and how you can contribute to our team. Keep it concise but impactful, and don’t forget to mention any relevant projects you've worked on.
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to showcase your technical abilities clearly. Include specific examples of how you've used Python or R in your previous roles, especially in developing risk management models or analytics.
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 to do!
How to prepare for a job interview at LSEG
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative risk management concepts and models. Be ready to discuss your experience with risk management models, financial modelling, and any specific projects you've worked on that relate to the role.
✨Show Off Your Programming Skills
Since programming in Python and R is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready.
✨Understand the Business Context
Familiarise yourself with LCH and its role within the London Stock Exchange Group. Knowing how they operate and the products they offer will help you tailor your answers and show that you're genuinely interested in the company.
✨Communicate Clearly
Effective communication is key, especially when discussing complex quantitative concepts. Practice explaining your work in simple terms, as you'll need to liaise with various teams. Being able to convey your ideas clearly will set you apart.