At a Glance
- Tasks: Oversee AI implementation and manage model risk in a fast-growing fintech environment.
- Company: Join Allica Bank, the UK's fastest-growing fintech firm, dedicated to supporting SMEs.
- Benefits: Enjoy flexible working, competitive salary, private health cover, and ongoing development opportunities.
- Why this job: Make a real impact on AI governance in financial services while driving innovation.
- Qualifications: Experience in model risk frameworks and strong analytical skills required.
- Other info: Collaborative culture with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
About Allica Bank: Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.
Department Description: Allica’s Risk Department forms the 2nd Line of Defence (2LOD) and provides robust support, insightful challenge, and comprehensive oversight to the dynamic activities of the 1st Line of Defence (1LOD). We are empowered to support innovative solutions to complex challenges, acting as key facilitators in driving the bank towards success. This role plays a key part in overseeing Allica’s AI implementation and ensuring our Model Risk Framework is robust and future ready.
Role Description: Are you excited by the challenge of ensuring AI is deployed safely, responsibly, and effectively in a fast-growing fintech bank? Join Allica’s Risk team and play a key role in shaping how we manage model risk across cutting-edge technologies, from Generative and Agentic AI to traditional financial models like IFRS9 and stress testing. In this high-impact role, you’ll help oversee Allica’s Model Risk Framework, working closely with teams across the bank to identify and manage material sources of model risk. You’ll ensure stakeholders understand their responsibilities, support governance across the full model lifecycle, and help enhance our frameworks, policies, and standards to keep pace with innovation.
Principal Accountabilities:
- Model Risk Support: Apply Allica’s established Model Risk Framework to a range of models with a primary focus on Generative AI, Agentic AI, and vendor-provided solutions, and secondary support for traditional financial risk models such as IFRS9, credit risk, and stress testing.
- Model Validation & Monitoring: Independently validate both Generative AI and traditional financial risk models; while supporting ongoing monitoring of AI tools, large language models (LLMs), and vendor solutions to ensure they remain effective, compliant, and aligned with Allica’s governance standards.
- AI Governance & Regulatory Compliance: Ensure adherence to internal policies and external regulations such as SS1/23, while embedding AI governance principles into model risk oversight.
- Risk Reporting & Escalation: Support the preparation of risk reports and dashboards for senior management and committees, ensuring clear visibility of model-related risks.
- Collaboration & Product Engagement: Work closely with teams across Allica to ensure AI solutions are deployed safely, with the right controls and governance in place.
- Training and Awareness: Lead awareness sessions on AI risk and best practices, helping to build a strong culture of responsible AI use across Allica.
Personal Attributes & Experience:
- Model Risk Expert: Experienced in applying model risk frameworks such as SS1/23, with a strong understanding of governance principles.
- AI & Modelling Knowledge: Skilled in model development and validation, including AI/ML, Generative AI, and traditional statistical techniques like credit risk and IFRS9.
- Governance-Focused: Familiar with AI governance frameworks and regulatory expectations.
- Analytical & Insightful: Strong analytical skills with the ability to translate complex technical outputs into clear, actionable insights for diverse stakeholders.
- Regulatory Awareness: Solid knowledge of the banking regulatory landscape and supervisory expectations.
- Proactive & Independent: A self-starter who thrives in fast-paced environments.
- Growth-Oriented: Keen to deepen expertise in risk, treasury, and regulation.
Working at Allica Bank: At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do, so our benefits are designed with you in mind:
- Full onboarding support and continued development opportunities
- Options for flexible working
- Regular social activities
- Pension contributions
- Discretionary bonus scheme
- Private health cover
- Life assurance
- Family friendly policies including enhanced Maternity & Paternity leave
Don’t tick every box? Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!
Flexible working: We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working.
Diversity: We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger.
Model Risk Manager - Gen AI employer: Allica Bank
Contact Detail:
Allica Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Risk Manager - Gen AI
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Allica Bank. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into AI and model risk topics. Brush up on your knowledge of Generative AI and traditional financial models. The more you know, the more confident you'll feel!
✨Tip Number 3
Showcase your passion for responsible AI use. Share examples of how you've tackled challenges in previous roles or projects. This will demonstrate your commitment to the values Allica stands for.
✨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 serious about joining the Allica team.
We think you need these skills to ace Model Risk Manager - Gen AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Model Risk Manager role. Highlight your expertise in AI, model risk frameworks, and any relevant regulatory knowledge to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI governance and how you can contribute to Allica's mission. Be genuine and let us know why you're excited about this opportunity.
Showcase Your Analytical Skills: In your application, don’t forget to demonstrate your analytical prowess. Use examples from your past work where you've translated complex data into actionable insights, especially in relation to model risk and AI.
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, it shows you’re keen on joining our team!
How to prepare for a job interview at Allica Bank
✨Know Your Model Risk Framework
Before the interview, make sure you’re well-versed in Allica's Model Risk Framework. Familiarise yourself with how it applies to Generative AI and traditional financial models. This will show that you understand the core responsibilities of the role and are ready to contribute from day one.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've used your analytical skills to solve complex problems. Be ready to explain how you translated technical outputs into actionable insights. This is crucial for a role that requires oversight of model risk across various technologies.
✨Understand AI Governance Principles
Brush up on AI governance frameworks and regulatory expectations, especially those relevant to the banking sector. Being able to articulate how you would ensure compliance with internal policies and external regulations will demonstrate your readiness to tackle the challenges of the role.
✨Emphasise Collaboration
Since this role involves working closely with different teams, be prepared to share experiences where you successfully collaborated on projects. Highlight your ability to act as a trusted advisor on AI risk and how you can help foster a culture of responsible AI use within the organisation.