At a Glance
- Tasks: Analyse and validate complex pricing models using C++ and Python.
- Company: Join Lloyds Banking Group, a leader in innovative finance.
- Benefits: Enjoy a competitive salary, generous pension, and flexible working options.
- Why this job: Make a real impact in a dynamic team shaping the future of finance.
- Qualifications: Master’s degree in a quantitative field or equivalent experience required.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
The predicted salary is between 53700 - 59600 £ per year.
An excellent opportunity has arisen for a highly motivated applicant to join the Model Risk Office at Lloyds Banking Group. This is an exciting opportunity to be part of a dynamic team in a changing and challenging environment, which offers considerable scope for personal development. Become part of the Markets & AI Modelling team which covers pricing models, counterparty risk models, and AI technology. Our team provides independent review and challenge of derivatives pricing models used for valuation and risk management—helping to ensure that the Group maintains rigorous standards and robust practices across its operations.
Day to day, responsibilities include:
- Deliver in-depth theoretical assessments of pricing models across various asset classes.
- Independently benchmark Front Office pricing models using C++ and Python.
- Perform qualitative analyses and stress tests to measure model performance.
- Compile comprehensive validation reports that clearly detail your findings and recommendations.
- Develop, enhance, and maintain internal tools that support and streamline the model validation process, contributing to the team’s overall efficiency and impact.
What you’ll need:
- A Master’s degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience in a quantitative role.
- A solid theoretical understanding of, and familiarity with, derivative pricing models, stochastic calculus, partial differential equations and Monte Carlo methods.
- Excellent problem-solving and time management skills.
- Strong written and verbal communication skills, with the ability to articulate complex mathematical concepts clearly and concisely.
- The ability to work independently, meet deadlines, and perform well under time pressure.
And any experience of these would be really useful:
- Prior experience in a Model Validation or Front Office Quant role.
- Programming experience in C++ and/or Python including library architecture design.
- Strong understanding of financial derivatives and risk modelling.
- Ability to critically evaluate model performance and identify limitations.
- Familiarity with regulatory expectations related to model risk.
About working for us:
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
At Lloyds Banking Group, we’re driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you’ll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop.
We’re focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Assistant Manager, Model Validation Quant employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Manager, Model Validation Quant
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you insights that you won't find in the job description.
✨Tip Number 2
Prepare for those tricky questions! Brush up on your knowledge of derivative pricing models and be ready to discuss your problem-solving approach. Practising with a friend or mentor can help you articulate your thoughts clearly during the interview.
✨Tip Number 3
Show off your coding skills! If you’ve got experience in C++ or Python, be prepared to demonstrate your understanding. Maybe even bring along a project you’ve worked on that showcases your programming prowess—this could really set you apart!
✨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 at Lloyds Banking Group.
We think you need these skills to ace Assistant Manager, Model Validation Quant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Assistant Manager, Model Validation Quant role. Highlight your relevant experience in model validation and quantitative analysis, and don’t forget to mention your programming skills in C++ and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think critically and come up with innovative solutions, especially in high-pressure situations.
Apply Through Our Website: 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 us that you’re genuinely interested in joining our team at Lloyds Banking Group.
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Models Inside Out
Make sure you have a solid grasp of derivative pricing models and the mathematical concepts behind them. Brush up on stochastic calculus and Monte Carlo methods, as these are likely to come up in your discussions. Being able to explain these concepts clearly will show your depth of knowledge.
✨Show Off Your Programming Skills
Since programming in C++ and Python is key for this role, be prepared to discuss your experience with these languages. Bring examples of projects you've worked on, especially those involving library architecture design or model validation. This will demonstrate your practical skills and how they apply to the job.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your problem-solving abilities. Practice articulating your thought process when tackling complex problems, especially under time pressure. Use examples from your past experiences to illustrate how you’ve successfully navigated challenges in model validation or quantitative roles.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this position. Practice explaining complex mathematical concepts in simple terms, as you may need to present your findings to non-technical stakeholders. Confidence in your delivery can make a big difference in how your expertise is perceived.