At a Glance
- Tasks: Lead validation of machine learning models and ensure they meet business needs.
- Company: Join Virgin Money, a pioneering digital bank with over 180 years of experience.
- Benefits: Enjoy 38.5 days annual leave, flexible working, and market-leading pension from day one.
- Why this job: Be part of a team driving innovation in financial modelling and AI.
- Qualifications: MSc or equivalent in maths/computer science; significant machine learning experience required.
- Other info: Remote work options available; commitment to diversity and inclusion.
The predicted salary is between 48000 - 72000 £ per year.
Business Unit: Group Risk, Independent Model Validation
Salary range: up to circa £60,000 per annum DOE + red-hot benefits
Location: UK Flexible/Remote
Contract type: Permanent
Our Team
We have an exciting opportunity for a Senior Specialist-Machine Learning 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 risk, financial and operational models. You'll 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.
With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent validations and reviews in Artificial Intelligence, where we work with stakeholders across the bank to ensure robust model development activities.
What you'll be doing
- Lead the validation of traditional and machine learning models to ensure models across the business are fit for purpose.
- Providing artificial intelligence and data science expertise to inform the discussion between Model Development and Model Risk Management.
- Engage with model owners, gathering materials for analysis, challenging model performance or development and documenting findings.
- Utilise your technical skills in data manipulation and extraction, 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.
We need you to have
- A higher qualification in mathematical or computer science field (MSc and above) or equivalent technical experience.
- Significant experience in machine learning, machine learning engineering and artificial intelligence modelling techniques, including Generative AI.
- The ability to lead the development and review modelling methodologies independently.
- Significant statistical knowledge.
- Demonstrable experience with model development and/or model validation in some of the following areas: Fraud, Financial Crime.
- Substantial expertise with Python programming language.
- Advanced knowledge of data science and data mining methodologies.
- Superb data presentation and report writing skills, ideally for a Model Risk Committee or equivalent.
- Sound decision making and critical thinking, with the ability to work to a high degree of accuracy, ensuring you always get the basics right.
It's a bonus if you have but not essential
- Good knowledge of SAS programming language.
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, and 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 deliver on our purpose, 'Making You Happier About Money.' This means we’re able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. 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.
It’s important to note that there may be occasions where it’s not possible to interview all candidates declaring a disability who meet the essential criteria for the job. In certain recruitment situations such as receiving a high-volume of applications, we may need to limit the overall numbers of interviews offered to both disabled and non-disabled applicants.
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.
Senior Specialist-Machine Learning | London, UK employer: Virgin Money UK
Contact Detail:
Virgin Money UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Specialist-Machine Learning | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and generative AI, especially as they relate to financial modelling. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the finance and machine learning sectors. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the role and the company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've applied machine learning techniques, particularly in model validation or development. Be ready to explain your thought process and the impact of your work on the outcomes.
✨Tip Number 4
Showcase your Python programming skills by working on personal projects or contributing to open-source initiatives. Having tangible examples of your coding abilities can set you apart from other candidates.
We think you need these skills to ace Senior Specialist-Machine Learning | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and artificial intelligence. Focus on relevant projects, particularly those involving model validation or development, and emphasise your proficiency in Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the company's goals. Mention specific experiences that demonstrate your ability to lead model validation and your understanding of financial modelling.
Showcase Your Technical Skills: When detailing your technical skills, be specific about your experience with data manipulation, statistical analysis, and any relevant programming languages. Highlight your familiarity with Generative AI and how it applies to the role.
Prepare for Potential Questions: Anticipate questions related to your experience with model validation and your approach to problem-solving in machine learning contexts. Be ready to discuss specific examples that showcase your critical thinking and decision-making abilities.
How to prepare for a job interview at Virgin Money UK
✨Showcase Your Technical Expertise
Make sure to highlight your experience with machine learning and artificial intelligence during the interview. Be prepared to discuss specific projects you've worked on, particularly those involving Python programming and model validation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach validating a model or addressing a challenge in model performance, and be ready to articulate your thought process clearly.
✨Demonstrate Your Communication Skills
Since you'll be engaging with various stakeholders, it's crucial to show that you can communicate complex technical concepts in an understandable way. Practice explaining your past work and findings as if you were presenting to a non-technical audience.
✨Research the Company Culture
Familiarise yourself with Virgin Money's values and culture. Understanding their commitment to diversity and inclusion will help you align your answers with their ethos, showing that you're not just a fit for the role but also for the company.