At a Glance
- Tasks: As a Modelling Analyst, you'll analyse data to support business decisions and refine predictive models.
- Company: Join Virgin Money, a pioneering mutual bank focused on fair and rewarding banking for all.
- Benefits: Enjoy 38.5 days annual leave, flexible benefits, and free private medical cover from day one.
- Why this job: Be part of a collaborative team making a positive impact on customers and society.
- Qualifications: Degree in a numerate discipline with strong analytical skills and a passion for data.
- Other info: Hybrid work model with occasional travel; apply early as the advert may close soon.
The predicted salary is between 26400 - 33000 £ per year.
Business Unit:Model Risk and Analytics
Salary Range: £26,400 – £33,000 per annumDOE+ benefits
Location: Hybrid with occasional travel to a hub location
Contract Type: Permanent
Our Team
The Model Risk and Analytics (MR&A) team work at the intersection of Data Science, Statistical Modelling and Economics, using data to support the business through model building or providing actionable insights from the data. We draw on statistical modelling techniques to produce the best possible predictive models.
As a Modelling Analyst within the IRB and Decisioning Analytics team, you’ll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our regulatory model suites, providing solutions to support the acquisition of new business, risk-based account management and manage the bank’s capital across its Retail portfolios.
The portfolios have a highly automated decisioning process, and the complex model suite requires continual refinement and redevelopment to ensure it remains fit for purpose.
What you’ll be doing
• Qualified to degree level in a numerate discipline subject (e.g. statistics, engineering, econometrics).
• Strong analytical skills with the ability to solve complex problems independently.
• Practical experience of distilling and interpretating complete data and analysis.
• Good communications skills both verbal and written.
• A team attitude with an enthusiasm to continually learn.
• Ability to learn and apply statistical techniques and coding languages.
• A passion for data.
It’s a bonus if you have but not essential
• Experience in building trusted relationships with stakeholders.
• Expertise in the use of statistical analysis software (e.g. SAS/SQL, Python, R) as well as MS Office.
• An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and regression.
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.
If we’re lucky to receive a lot of interest, we may close the advert early. Please ensure to submit your applications as soon as possible.
Say hello to Virgin Money
Virgin Money is so much more than just a bank. As part of theNationwide group,together we\’re the UK\’s first full-service mutual bank serving millions of retail and business customers and all driven by our purpose; Banking but fairer, more rewarding and for the good of society. With us, you’ll be part of an organisation uniquely positioned to make a difference to the lives of customers, communities and broader society and embark on a collaborative, customer obsessed, and fun-filled career journey. Embrace the weekdays, enjoy fantastic perks, and make a meaningful positive difference. Time to discover what it means to be part of the first mutual full-service banking provider.
Be yourself at Virgin Money
At Virgin Money, we celebrate everyone. We have fun, think big, and relentlessly include each other, all in pursuit of our purpose: Banking – but fairer, more rewarding, and for the good of society.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 teamcareers@virginmoney.com
Please note: If we receive a high volume of eligible applications, we may need to prioritise candidates whose skills and experience most closely align with the role, while still ensuring fair and equitable consideration for all applicants.
Now the legal bit
Although some of our roles allow you to be based anywhere in the UK, 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.
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Modelling Analyst employer: 2022 - Chief Operating Office
Contact Detail:
2022 - Chief Operating Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Modelling Analyst
✨Tip Number 1
Familiarise yourself with statistical modelling techniques and coding languages mentioned in the job description, such as SAS, SQL, Python, and R. This will not only boost your confidence but also demonstrate your commitment to the role during interviews.
✨Tip Number 2
Network with professionals in the field of model risk and analytics. Attend relevant workshops or webinars to connect with industry experts and gain insights that could be beneficial for your application and interview.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analysis to solve complex problems. Being able to articulate your thought process and the impact of your work can set you apart from other candidates.
✨Tip Number 4
Showcase your enthusiasm for continuous learning by mentioning any recent courses or certifications related to data science or statistical modelling. This reflects your proactive attitude and aligns with the team's values at Virgin Money.
We think you need these skills to ace Modelling Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your qualifications in a numerate discipline and showcases your analytical skills. Include any relevant experience with statistical modelling techniques and coding languages like Python or R.
Craft a Strong Cover Letter: In your cover letter, express your passion for data and your enthusiasm for the role. Mention specific examples of how you've solved complex problems independently and your ability to communicate effectively.
Highlight Relevant Experience: If you have experience building relationships with stakeholders or using statistical analysis software, be sure to include this in your application. It can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Modelling Analyst role.
How to prepare for a job interview at 2022 - Chief Operating Office
✨Showcase Your Analytical Skills
As a Modelling Analyst, strong analytical skills are crucial. Be prepared to discuss specific examples of complex problems you've solved independently, and how your analytical approach led to successful outcomes.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data during the interview. Share experiences where you used data to drive decisions or insights, and highlight any projects that showcase your ability to work with statistical techniques and coding languages.
✨Communicate Clearly
Good communication skills are essential for this role. Practice explaining complex concepts in simple terms, as you may need to convey your findings to stakeholders who may not have a technical background.
✨Prepare for Technical Questions
Expect questions related to statistical modelling techniques and software tools like SAS, SQL, Python, or R. Brush up on these topics and be ready to discuss how you've applied them in previous roles or projects.