At a Glance
- Tasks: Conduct in-depth assessments of pricing models and develop internal tools for model validation.
- Company: Join Lloyds Banking Group, a leader in finance with a focus on innovation.
- Benefits: Enjoy a competitive salary, generous pension, and flexible working options.
- Why this job: Be part of a dynamic team shaping the future of finance with cutting-edge technology.
- Qualifications: Master's degree in a quantitative field and strong programming skills in C++ or Python.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
The predicted salary is between 63711 - 70790 £ per year.
locations: London 33 Old Broad Street
time type: Full time
posted on: Posted Today
time left to apply: End Date: February 10, **** (14 days left to apply)
job requisition id: ********
End Date: Monday 09 February ******
Salary Range: £63,711 - £70,790
Flexible Working Options: Hybrid Working, Job Share
Job Description Summary:
SALARY: £63,711 - £70,790
LOCATION: London
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.
About this Opportunity:
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.
Why Lloyds Banking Group:
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you.
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
Assistant Manager, Model Validation Quant in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lloyds Banking Group on LinkedIn. A friendly chat can give us insider info about the team and the role, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves C++ and Python, make sure we can confidently discuss our experience with these languages and how we've applied them in model validation.
✨Tip Number 3
Showcase our problem-solving skills during the interview. Be ready to tackle hypothetical scenarios related to derivative pricing models and explain our thought process clearly. This will highlight our analytical abilities!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to match the job description perfectly, making us stand out from the crowd.
We think you need these skills to ace Assistant Manager, Model Validation Quant in England
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 showcase 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 aligns with our needs. Be sure to mention your understanding of derivative pricing models and your problem-solving skills.
Showcase Your Communication Skills: Since strong written communication is key for this role, make sure your application is clear and concise. Use straightforward language to explain complex concepts, just like you would in a validation report.
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 interview. Being able to discuss these topics confidently will show that you're well-prepared and knowledgeable.
✨Showcase Your Programming Skills
Since programming in C++ and Python is crucial for this role, be ready to discuss your experience with these languages. Prepare examples of projects where you've used them, especially in model validation or financial contexts. If possible, bring along code snippets or tools you've developed to demonstrate your capabilities.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Practice articulating your thought process clearly when tackling complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you approach challenges and arrive at solutions.
✨Communicate Clearly and Concisely
Strong communication skills are essential for this role, so practice explaining complex mathematical concepts in simple terms. During the interview, focus on being clear and concise in your responses. This will not only help you connect with your interviewers but also demonstrate your ability to convey important information effectively.