At a Glance
- Tasks: Validate and challenge mathematical models to ensure they meet business needs.
- Company: Join Virgin Money, a leading digital bank with over 180 years of heritage.
- Benefits: Enjoy 38.5 days annual leave, flexible working, and comprehensive health benefits from day one.
- Other info: Remote work options available; apply early as the advert may close soon.
- Why this job: Be part of a customer-centric culture that values innovation and inclusivity.
- Qualifications: Experience in statistical model validation and proficiency in SAS or Python required.
The predicted salary is between 39200 - 49000 £ per year.
Business Unit: Group Risk, Independent Model Validation Salary range: £39,200 - £49,000 Location: UK, Remote Contract type : Permanent Live to inspire change. Live a life more Virgin. Our Team We have an exciting opportunity in our Independent Model Validation team. The validation team holds a key role in the validation, challenge, and oversight of VMUK’s overall model landscape, including credit, financial and operational risk models. The role holder will have the opportunity to work across a broad range of models spanning retail and business asset classes and drive insight and improvements in model outputs and controls. What you’ll be doing Support the validation of new and revised mathematical models to ensure models across the business are fit for purpose Provide assurance on compliance with the regulatory requirements we work within There is an emphasis on credit risk IFRS 9/Stress Testing models but also opportunity to be involved with IRB, Pricing, Op Risk, Climate Risk or other models Engage with model owners, gathering materials for analysis, challenging model development and performance and documenting findings Utilise your technical skills in data extraction and manipulation, assessing and comparing data from a variety of sources Generate model validation reports and ensure that validation actions are followed through to a resolution Support the continuous learning and development of a best practice modelling culture within the bank Offer insight and recommendations that contribute to achieving best in class risk models We need you to have Significant experience in developing or validating statistical models in an industry or academic context Highly analytical with a numerate degree or equivalent technical experience Experience in the use of statistical software (SAS and/or Python) to analyse and interpret data Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent Ability to work to a high degree of accuracy, ensuring you always get the basics right Sound decision making and critical thinking It’s a bonus if you have but not essential Knowledge of credit risk modelling including PD, EAD and LGD models Experience of working with IFRS 9 or Stress Testing models in the financial industry Familiarity with Model Risk Management frameworks and associated regulations (e.g. SS1/23, Consumer Duty) Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more. Up to five extra paid well-being days per year . 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there\'s no waiting around, you\'ll enjoy these benefits from day one. Feeling insatiably curious about this role? If we’re lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We\'re all about helping you Live a Life More Virgin, so happy to talk flexible working with you. Say hello to Virgin Money We’re making great strides towards achieving our ambition of becoming the UK’s best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we`re a workforce to be reckoned with. We\'re putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people\'s lives. We\'re customer obsessed and work tirelessly to create positive experiences for our millions of customers and deliver on our purpose, ‘Making You Happier About Money.’ Our customer centric culture means that we\'re able to do banking differently and by innovating and working together we can make a real difference. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We’re committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we\'re committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team careers@virginmoney.com Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we\'ll need you to confirm you have the right to work in the UK. If you\'re successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years\' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks – we\'ll ask for six years of regulatory references, and once in the role, you\'ll be subject to periodic employment checks.
Model Validation Specialist in Newcastle upon Tyne employer: Virgin Money
At Virgin Money, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions flexibility and inclusivity. As a Model Validation Specialist, you'll benefit from generous annual leave, comprehensive health coverage, and a commitment to your professional growth within a forward-thinking digital bank that values innovation and customer satisfaction. Join us in our mission to make banking better while enjoying the unique advantages of remote work across the UK.
Contact Details:
Virgin Money Recruitment Team
careers@virginmoney.com
StudySmarter Expert Advice🤫
We think this is how you could land Model Validation Specialist in Newcastle upon Tyne
✨Tip Number 1
Familiarise yourself with the latest regulatory requirements and frameworks related to model validation, such as IFRS 9 and SS1/23. This knowledge will not only help you understand the role better but also demonstrate your commitment to compliance during discussions.
✨Tip Number 2
Engage with professionals in the field through networking platforms like LinkedIn. Join groups focused on model validation and risk management to gain insights and potentially connect with current employees at Virgin Money who can provide valuable information about the team culture.
✨Tip Number 3
Brush up on your statistical software skills, particularly in SAS and Python. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical abilities during interviews.
✨Tip Number 4
Prepare to discuss specific examples of how you've validated models in previous roles or academic settings. Highlight your analytical skills and decision-making processes to illustrate your fit for the position and your ability to contribute to best practices in model validation.
We think you need these skills to ace Model Validation Specialist in Newcastle upon Tyne
Statistical Modelling
Data Analysis
Experience with SAS and/or Python
Report Writing Skills
Numerical Aptitude
Critical Thinking
Attention to Detail
Regulatory Compliance Knowledge
Model Validation Techniques
Data Extraction and Manipulation
Communication Skills
Problem-Solving Skills
Knowledge of Credit Risk Modelling
Familiarity with IFRS 9 and Stress Testing Models
Understanding of Model Risk Management Frameworks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in model validation and statistical analysis. Emphasise your proficiency with statistical software like SAS or Python, as well as any experience with credit risk modelling.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with complex models. Show how you align with Virgin Money's values and mission.
Highlight Technical Skills:Clearly outline your technical skills in data extraction, manipulation, and presentation. Provide examples of how you've used these skills in previous roles, particularly in generating reports for model risk committees.
Showcase Continuous Learning:Mention any relevant courses, certifications, or training you've undertaken to stay updated in the field of model validation and risk management. This shows your commitment to professional development and best practices.
How to prepare for a job interview at Virgin Money
✨Showcase Your Technical Skills
Make sure to highlight your experience with statistical software like SAS and Python. Be prepared to discuss specific projects where you used these tools to analyse data, as this will demonstrate your technical proficiency.
✨Understand the Regulatory Landscape
Familiarise yourself with relevant regulations such as IFRS 9 and Model Risk Management frameworks. Being able to discuss how these regulations impact model validation will show that you are well-informed and ready to contribute.
✨Prepare for Analytical Challenges
Expect to face analytical challenges during the interview. Brush up on your critical thinking skills and be ready to explain your thought process when validating models or interpreting data. This will showcase your analytical mindset.
✨Communicate Clearly and Effectively
Since report writing is a key part of the role, practice articulating your findings clearly. Use examples from your past experiences to illustrate how you’ve effectively communicated complex data insights to stakeholders.