Process Verification Manager
Process Verification Manager

Process Verification Manager

Scotland Full-Time 63000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead process verification testing and ensure top-notch model validations.
  • Company: Join Virgin Money, a pioneering digital bank with over 180 years of heritage.
  • Benefits: Enjoy 38.5 days annual leave, flexible working, and market-leading pension from day one.
  • Why this job: Be part of a customer-centric culture that values innovation and diversity.
  • Qualifications: Significant experience in data management and risk systems; programming skills required.
  • Other info: Hybrid role with team meetups twice a year in Glasgow or Gosforth.

The predicted salary is between 63000 - 84000 £ per year.

Business Unit: Group Risk, Model Risk & Analytics
Salary range: Circa £75,000 per annum
Location: UK, Hybrid, with team meetups in one of our hubs (Glasgow / Gosforth) x2 per year
Contract type : Permanent

Live to inspire change. Live a life more Virgin.

Our Team

Having solid Model Risk Management frameworks is super important for us to handle the risks that come with using models for our decisions, especially with all the complex regulations and growing expectations from regulators. Plus, with new tech like AI (and Gen AI) and new financial risks like climate change, the modelling space is constantly evolving and needs to be managed well.

That's where our team steps in! We provide independent validations and reviews, working with stakeholders across the bank to ensure our model developments are top-notch. We also make sure we stick to frameworks and policies by helping identify and fix any compliance gaps.

What you’ll be doing

  • Designing a blueprint for process verification testing across the model lifecycle and embedding it in our existing validation processes

  • Developing and executing comprehensive test plans across the model lifecycle, including test objectives, scope and success criteria

  • Verifying the quality, consistency and relevance of input datasets by creating appropriate testing pipelines (e.g. data and model drift) using conventional and novel tools relating to data testing

  • Evaluating model performance under stress scenarios and testing model scalability in production-like environments

  • Designing effective integration testing that ensures seamless data flow and compatibility with overall system architectures

  • Project leading and supporting a team of expert model validators covering an array of model types and performing highly quantitative process verification activities as part of validations

  • Documenting and presenting validation findings to technical forums and governance committees, while producing summary reports and relevant Management Information (MI), where required

  • Contributing to and influencing validation standards across the model lifecycle to continuously enhance the validation process, especially with process verification in mind

We need you to have

  • Significant experience in data management, data quality assurance and/or reporting of risk data, including validating data inputs and/or data outputs

  • Strong understanding of software engineering testing methodologies, including integration and scalability testing

  • Significant experience in risk-specific systems (e.g. TSYS, PowerCurve) gained from implementing models in such systems or using them to monitor models and report on outputs

  • Advanced knowledge of at least one programming language, e.g. SAS, R, Python, SQL

  • Experience in independently validating / reviewing or building models

  • Experience of leading a project-based team in a fast-paced environment, including effective resource management, positive behaviours and performance coaching to build capability

It’s a bonus if you have but not essential

  • Knowledge of Model Risk Management frameworks and associated regulations (e.g. SS1/23)

  • Familiarity with data science testing frameworks (e.g. unittest, pytest) and relevant processes (e.g. CI / CD pipelines for automated testing and deployment, Git for version control)

  • Understanding of data privacy (e.g. GDPR) and security regulations. Familiarity with ethical principles including bias and fairness testing

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

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.

Process Verification Manager 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 continuous learning opportunities and a supportive environment that encourages innovation and collaboration, making it an ideal place for those looking to make a meaningful impact in the financial sector.
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Contact Detail:

Virgin Money Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Process Verification Manager

✨Tip Number 1

Familiarise yourself with the latest trends in model risk management and data quality assurance. Being able to discuss current challenges and innovations in these areas during your interview will show that you're not just knowledgeable but also genuinely interested in the field.

✨Tip Number 2

Network with professionals in the model risk and analytics space. Attend relevant industry events or webinars, and connect with people on platforms like LinkedIn. This can provide you with insights into the company culture and potentially even a referral.

✨Tip Number 3

Prepare to demonstrate your technical skills in programming languages such as Python or R. Consider working on a small project or case study that showcases your ability to validate models and manage data effectively, as this could be a key discussion point in your interview.

✨Tip Number 4

Understand the specific compliance frameworks and regulations mentioned in the job description, such as SS1/23. Being able to articulate how you would ensure adherence to these standards in your role will set you apart from other candidates.

We think you need these skills to ace Process Verification Manager

Data Management
Data Quality Assurance
Risk Data Reporting
Model Validation
Software Engineering Testing Methodologies
Integration Testing
Scalability Testing
Programming Skills (SAS, R, Python, SQL)
Project Leadership
Resource Management
Performance Coaching
Documentation and Reporting
Understanding of Model Risk Management Frameworks
Familiarity with Data Science Testing Frameworks
Knowledge of Data Privacy Regulations (e.g. GDPR)
Understanding of Ethical Principles in Data Testing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data management, risk data reporting, and model validation. Use specific examples that demonstrate your understanding of software engineering testing methodologies and your ability to lead project-based teams.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience with model risk management frameworks and programming languages like Python or R.

Showcase Your Technical Skills: Be sure to include any advanced knowledge of programming languages and risk-specific systems in your application. Highlight your familiarity with data science testing frameworks and any experience you have with CI/CD pipelines or Git.

Demonstrate Your Leadership Experience: Provide examples of how you've successfully led teams in fast-paced environments. Discuss your approach to resource management and performance coaching, as these are key aspects of the Process Verification Manager role.

How to prepare for a job interview at Virgin Money

✨Understand the Model Risk Landscape

Familiarise yourself with the current trends and regulations in model risk management. Be prepared to discuss how you can contribute to maintaining compliance and enhancing validation processes, especially in light of evolving technologies like AI.

✨Showcase Your Technical Skills

Highlight your experience with programming languages such as SAS, R, Python, or SQL. Be ready to provide examples of how you've used these skills in data management and model validation, particularly in stress testing and scalability assessments.

✨Demonstrate Leadership Experience

Prepare to discuss your experience leading project-based teams. Share specific examples of how you've managed resources effectively and coached team members to improve performance, especially in fast-paced environments.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would design test plans or handle compliance gaps, and be ready to articulate your thought process clearly.

Process Verification Manager
Virgin Money
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