At a Glance
- Tasks: Join us in shaping the future of model risk management and support innovative projects.
- Company: Dynamic organisation focused on risk and compliance with a commitment to diversity.
- Benefits: Generous annual leave, private healthcare, and flexible working options.
- Other info: Embrace a culture that values inclusivity and offers excellent career growth opportunities.
- Why this job: Make a real impact in a collaborative environment while developing your skills.
- Qualifications: Experience in modelling, machine learning, or data science; coding skills in Python, SQL, or R.
The predicted salary is between 53800 - 67200 £ per year.
Division: Risk and Compliance Oversight Department – Enterprise Risk Management
Salary: National (Edinburgh and Leeds) £53,800 to £67,200, London £59,200 to £73,800 (salary will be based on skills and experience)
Responsibilities
- Contribute to the development and embedding of the model risk management framework, supporting training, communication and adoption across the FCA.
- Provide oversight, guidance and constructive challenge to first line of defence (1LOD) model development and governance activities.
- Work closely with modelling teams to support model risk assessments, evaluate controls, advise on validation approaches and ensure model inventory data is accurate and complete.
- Support assurance activities such as independent model validations and thematic reviews.
- Support the maintenance and ongoing development of the FCA Model Inventory, including contributing to data analysis and reporting for senior stakeholders.
- Work collaboratively with RCO colleagues to stay informed on developments across risk and contribute to updates on internal AI and model risk.
- Build and maintain a network across key 1LOD areas (e.g. Advanced Analytics, Data Management, AI Governance) and stay up to date with developments in AI and model risk management.
Minimum skills
- Experience delivering modelling, machine learning, or data science projects.
- Experience contributing to the implementation of a model risk framework, including supporting training, guidance, or communications.
- Practical coding experience in Python, SQL, or R.
Essential skills
- Good knowledge of a range of modelling and machine‑learning techniques.
- Interpersonal skills, with the ability to provide clear, balanced and practical advice.
- Experience working with stakeholders, with confidence to engage effectively across different teams.
- A collaborative approach, building positive working relationships to reach shared outcomes.
- Good organisational skills, with the ability to manage competing priorities and deliver high‑quality work to deadlines.
- Problem‑solving ability, applying sound judgement and making evidence‑based recommendations.
- Ability to adjust and work effectively in a changing environment.
Benefits
- 25 days annual leave plus bank holidays.
- Non‑contributory pension (8–12% depending on age) and life assurance at eight times your salary.
- Private healthcare with Bupa, income protection and 24/7 Employee Assistance.
- 35 hours of paid volunteering annually.
- Hybrid model where employees work a minimum of 40% in the office each month, with a 50% expectation for senior leaders.
- From September, a minimum of 50% in the office each month with a 60% expectation for Directors and Executive Directors.
- A flexible benefits scheme designed around your lifestyle.
Values & Culture
We are committed to fostering a diverse and inclusive culture that is free from discrimination and bias, celebrates differences and supports colleagues to deliver at their best. We are a Disability Confident Employer and will provide tailored support to applicants who require adjustments due to a disability or condition. Flexible working options, including part‑time and job sharing, are considered where applicable.
Model Risk - Senior Associate employer: PSR Limited
As a leading employer in the financial sector, we offer a dynamic work environment that prioritises employee growth and development. Our commitment to diversity and inclusion fosters a supportive culture where every team member can thrive, while our competitive benefits package, including generous annual leave and private healthcare, ensures a rewarding work-life balance. Located in vibrant cities like Edinburgh and Leeds, we provide opportunities for collaboration and innovation in model risk management, making us an excellent choice for professionals seeking meaningful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Model Risk - Senior Associate
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in model risk. Building relationships can open doors that you didn’t even know existed.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your coding skills in Python, SQL, or R. Share examples of your past projects and how you tackled challenges – it’s all about demonstrating your expertise!
✨Be Ready for the Challenge
Prepare for interviews by brushing up on your knowledge of model risk frameworks and machine learning techniques. Think about how you can provide clear, practical advice and be ready to discuss how you’ve done this in previous roles.
✨Apply Through Us!
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to show your enthusiasm for the role and the company.
We think you need these skills to ace Model Risk - Senior Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in model risk management and relevant skills. We want to see how your background aligns with the responsibilities outlined in the job description.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your coding experience in Python, SQL, or R, and how you've contributed to model risk frameworks. This helps us see your practical application of knowledge.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's necessary, and make sure your key points stand out.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position there!
How to prepare for a job interview at PSR Limited
✨Know Your Models
Make sure you brush up on your knowledge of various modelling and machine-learning techniques. Be ready to discuss specific projects you've worked on, especially those involving Python, SQL, or R. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Communication Skills
Since the role involves providing guidance and constructive challenge, practice articulating your thoughts clearly. Prepare examples where you've successfully communicated complex ideas to stakeholders. This will demonstrate your interpersonal skills and ability to engage effectively across teams.
✨Demonstrate Problem-Solving Ability
Think of scenarios where you've had to apply sound judgement and make evidence-based recommendations. Be ready to discuss how you approached these challenges and what the outcomes were. This will highlight your analytical skills and adaptability in a changing environment.
✨Build Connections
Networking is key! Research the company’s current initiatives in AI and model risk management. Mention any relevant connections or insights you have about their work. This shows that you're proactive and genuinely interested in contributing to their goals.
