At a Glance
- Tasks: Build and validate statistical models to support business decisions and enhance banking operations.
- Company: Join Virgin Money, a leading digital bank with a commitment to innovation and customer satisfaction.
- Benefits: Enjoy 38.5 days annual leave, flexible working, and comprehensive health benefits from day one.
- Other info: Inclusive culture with opportunities for career growth and personal development.
- Why this job: Make a real impact in banking by applying advanced analytics and machine learning techniques.
- Qualifications: Strong analytical skills and experience with statistical modelling in a banking environment.
The predicted salary is between 34000 - 48000 € per year.
Business Unit: Model Risk and Analytics Salary range: up to circa £41,000 per annum DOE red-hot benefits Location: Hybrid - with occasional travel to one of our key hubs Contract type : Permanent Get out of your comfort zone. Live a life more Virgin. Our Team The team’s focus is on providing quantitative and qualitative analysis across our model suite, providing solutions support the acquisition of new business, risk-based account management and manage the bank’s capital across its business portfolios. A key part of the team’s remit will be to gain buy-in from stakeholders for new ways of doing things. What you’ll be doing Building and validating statistical models to support business decisions, in line with regulatory requirements. Researching the best techniques for the given purpose and coordinating with others to determine a model specification. Delivering analytical/statistical modelling and data analysis to support the development of the bank’s models Inputting into the scoping, design, development, validation and implementation of models Clearly defining problem statements and researching and testing innovative solutions to address these Documenting the process and outcome of your analysis and model development to support internal review, stakeholder engagement and change proposals Reviewing existing models to demonstrate continued performance and identify potential enhancements to the modelling suite. We need you to have Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics) Familiarity of a wide variety of advanced machine learning and AI modelling techniques with some experience of applying them, ideally in a banking environment Experience of model development projects or modelling analytics within banking with an understanding of model usage Practical experience of distilling and interpreting complex data and analysis Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It’s a bonus if you have but not essential Advanced Degree (PhD, Masters) in a data science related area Coaching/mentoring experience Experience in Banking and Risk Management. 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 careers@virginmoney.com 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.
Risk Data Scientist 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. With generous benefits such as 38.5 days of annual leave, comprehensive family leave, and a market-leading pension scheme, we empower our employees to thrive both personally and professionally. Our commitment to employee growth is evident through opportunities for coaching and mentoring, making this a rewarding environment for those looking to make a meaningful impact in the banking sector.
Contact Detail:
Virgin Money Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Risk Data Scientist in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you stand out and show that you're genuinely interested in being part of the team.
✨Tip Number 3
Practice your problem-solving skills! As a Risk Data Scientist, you'll need to demonstrate your analytical abilities. Work through case studies or mock interviews to showcase your thought process and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re keen on joining us at Virgin Money and living a life more Virgin!
We think you need these skills to ace Risk Data Scientist in Newcastle upon Tyne
Analytical Skills
Statistical Modelling
Machine Learning Techniques
Data Analysis
Model Development
Problem Definition
Statistical Analysis Software (SAS, Python, R)
Hypothesis Testing
Probability Distributions
Regression Analysis
Stakeholder Engagement
Documentation Skills
Banking Knowledge
Risk Management
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Risk Data Scientist role. Highlight your analytical skills and experience with statistical models, as these are key to what we’re looking for at StudySmarter.
Showcase Your Skills:Don’t just list your qualifications; demonstrate how you’ve used them in real-world scenarios. Whether it’s through projects or previous roles, we want to see how your expertise in machine learning and data analysis can benefit us.
Be Clear and Concise:When writing your application, keep it straightforward. Clearly define your problem-solving approach and the outcomes of your analyses. We appreciate clarity, especially when it comes to complex data!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands and helps us get to know you better!
How to prepare for a job interview at Virgin Money
✨Know Your Models Inside Out
Make sure you’re well-versed in the statistical models relevant to the role. Brush up on your knowledge of machine learning techniques and be ready to discuss how you've applied them in past projects, especially in a banking context.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing specific examples where you've distilled complex data into actionable insights. Think about how you can clearly define problem statements and the innovative solutions you've proposed in previous roles.
✨Engage with Stakeholders
Since gaining buy-in from stakeholders is key, be ready to talk about your experience in collaborating with different teams. Share examples of how you’ve communicated technical concepts to non-technical audiences and how you’ve influenced decision-making.
✨Practice Your Software Skills
Familiarise yourself with the statistical analysis software mentioned in the job description, like SAS, Python, or R. Consider doing a quick project or two to refresh your skills, so you can confidently discuss your technical abilities during the interview.