Quantitative Risk Manager - London Stock Exchange Group

Quantitative Risk Manager - London Stock Exchange Group

London Full-Time 70000 - 90000 € / year (est.) No home office possible
London Stock Exchange Group

At a Glance

  • Tasks: Manage quantitative risk models and develop innovative risk solutions for 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.
  • Other info: Be part of a diverse team that values innovation and sustainability.
  • Why this job: Make a significant impact in a dynamic environment while driving financial stability.
  • Qualifications: Degree in a 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 and Equities trading venues. 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. The Business Quant Risk team is accountable for:

  • 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)

Key responsibilities of the role:

  • 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
  • Analysis of the clearing data to look for trends and new business opportunities for LCH
  • Validation/Analysis/Development of the compression and netting algorithms

Experience and skills required:

  • 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 with team delivery environment

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.

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.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Quantitative Risk Manager - London Stock Exchange Group employer: London Stock Exchange Group

At London Stock Exchange Group (LSEG), we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London. Our commitment to innovation and continuous improvement fosters a culture where your individuality is valued, and you can thrive alongside 25,000 colleagues globally. With tailored benefits, opportunities for professional growth, and a strong focus on sustainability and community engagement, LSEG is the ideal place for those looking to make a meaningful impact in the financial markets.

London Stock Exchange Group

Contact Detail:

London Stock Exchange Group Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Quantitative Risk Manager - London Stock Exchange Group

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at LSEG. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with programming languages like Java, R, and Python, as well as your understanding of risk models.

✨Tip Number 3

Showcase your problem-solving skills during interviews. Share specific examples of how you've tackled challenges in Quant Risk Management to demonstrate your autonomy and expertise.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the LSEG team.

We think you need these skills to ace Quantitative Risk Manager - London Stock Exchange Group

Quantitative Risk Management
Margin Models Ownership
Risk Governance Presentation
Regulatory Liaison
Margin Algorithms Implementation
Software Applications for Risk IT Systems
Risk IT Systems Design and Building

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk Manager role. Highlight your relevant experience in risk management, programming skills, and any specific projects that align with what we do at LCH.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how your background makes you a great fit. Don’t just repeat your CV; use this space to showcase your personality and enthusiasm for working with us.

Showcase Your Technical Skills:Since we're looking for strong programming skills, make sure to mention your experience with Java, R, or Python. If you've worked on relevant projects, give us a sneak peek into your problem-solving approach and outcomes.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and shows us you’re serious about joining our team!

How to prepare for a job interview at London Stock Exchange Group

✨Know Your Quantitative Risk Models

Make sure you brush up on the margin models and risk governance processes relevant to the role. Be prepared to discuss your experience with VaR models and how you've implemented or improved them in past roles.

✨Showcase Your Programming Skills

Since strong programming skills in Java, R, and Python are essential, be ready to talk about specific projects where you've used these languages. Consider preparing a small coding example or discussing a problem you solved using programming.

✨Understand the Regulatory Landscape

Familiarise yourself with EMIR regulations and how they impact risk management practices. Being able to articulate how you've navigated regulatory changes in previous positions will demonstrate your expertise and readiness for this role.

✨Communicate Effectively

Effective communication is key, especially when liaising with IT teams and presenting risk analyses. Practice explaining complex concepts in simple terms, as you'll need to convey technical information clearly to non-technical stakeholders.