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For Companies At a Glance
- Tasks: Lead credit risk strategies and predictive modelling to enhance business performance.
- Company: Established financial services firm with a collaborative culture.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with exposure to senior stakeholders and advanced AI techniques.
- Why this job: Make a real impact on credit risk strategy while shaping future analytics capabilities.
- Qualifications: Experience in credit risk analytics and strong predictive modelling skills required.
The predicted salary is between 60000 - 75000 £ per year.
Permanent position in Glasgow with a hybrid working model (3 days in the office).
The Opportunity
- Senior Analytics leadership role within a well-established financial services environment.
- Ownership of unsecured credit risk strategy across the full lifecycle including originations, collections & recoveries.
- Key position supporting business performance through data-driven insight, predictive modelling and commercial decisioning.
- Opportunity to shape and evolve IFRS 9 frameworks alongside advancing AI and machine learning capability.
- Visible role working closely with senior stakeholders across Risk, Finance, Operations, Technology.
Key Responsibilities
- Own the development, deployment, and optimisation of credit risk strategies across the customer lifecycle.
- Lead the predictive modelling approach ensuring alignment to risk appetite, commercial objectives and regulatory expectations.
- Monitor portfolio performance using robust MI, segmentation and champion challenger techniques.
- Translate analytical insight into clear actionable recommendations to improve business outcomes.
- Maintain and enhance IFRS 9 framework including annual model review, governance and documentation.
- Develop explainable AI and machine learning models within a well-controlled governance structure.
- Lead the delivery of model changes, strategy enhancements and process improvements across the business.
- Partner with senior stakeholders to influence decision making and support change delivery.
Team Leadership
- Lead, coach, develop a small team of Analysts.
- Build strong technical capability alongside commercial understanding.
- Promote best practice in analytics, governance and model management.
- Foster a high performing, engaged, delivery focused team culture.
- Act as deputy to the Head of department when required.
About You
- Proven experience in credit risk analytics within financial services.
- Strong background in predictive modelling across originations, collections or recoveries.
- Advanced capability using SAS or equivalent statistical tools.
- Deep understanding of credit risk strategy, portfolio performance and optimisation techniques.
- Strong communication skills with ability to influence senior stakeholders.
- Experience working within model governance frameworks including IFRS 9.
Desirable
- Exposure to AI or machine learning techniques within a regulated environment.
- Experience leading or mentoring analytics teams.
- Broader understanding of end to end credit lifecycle.
Why Consider This Role
- High impact role with real ownership of strategy and models.
- Strong balance of technical depth, commercial influence and leadership.
- Opportunity to shape future analytics capability including AI adoption.
- Collaborative environment with senior stakeholder exposure.
- Hybrid working model with flexibility (3 days per week in the Glasgow office).
*** No sponsorship is available so only those who have the right to work in the UK unrestricted are able to be considered ***
Apply online for a quick turnaround.
Credit Risk Analytics Manager in Glasgow employer: Change Recruitment
Contact Detail:
Change Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analytics Manager in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those in credit risk analytics. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your predictive modelling skills. Be ready to discuss how you've used data-driven insights to influence business decisions. Show them you can translate complex analytics into actionable strategies!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. When you find a role that excites you, apply through our website for a quicker response. We want to see your application!
✨Tip Number 4
Showcase your leadership skills! If you've led teams or projects, be sure to highlight this in interviews. Companies are looking for someone who can not only crunch numbers but also inspire and develop their team.
We think you need these skills to ace Credit Risk Analytics Manager in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Credit Risk Analytics Manager. Highlight your experience in credit risk analytics, predictive modelling, and any relevant tools like SAS. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past achievements in credit risk strategy and how you’ve influenced decision-making in previous positions.
Showcase Your Leadership Skills: Since this role involves leading a small team, don’t forget to mention your leadership experience. Talk about how you've coached or developed others in analytics and how you foster a high-performing team culture. We love seeing that!
Apply Through Our Website: For a quick turnaround, make sure to apply through our website. It’s the easiest way for us to get your application and start the process. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Change Recruitment
✨Know Your Numbers
Brush up on your credit risk analytics knowledge, especially around predictive modelling and IFRS 9 frameworks. Be ready to discuss specific examples of how you've used data-driven insights to influence business decisions in previous roles.
✨Speak Their Language
Familiarise yourself with the key terms and concepts mentioned in the job description, like 'unsecured credit risk strategy' and 'champion challenger techniques'. This will help you communicate effectively with senior stakeholders during the interview.
✨Showcase Your Leadership Skills
Prepare to discuss your experience in leading and mentoring teams. Think of examples where you've fostered a high-performing culture or promoted best practices in analytics. This is crucial for a role that involves team leadership.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to credit risk strategies or model governance. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and ability to make sound decisions under pressure.