At a Glance
- Tasks: Drive credit risk insights and shape strategic decisions with data-driven analytics.
- Company: Join a leading financial services firm committed to diversity and innovation.
- Benefits: Competitive salary, flexible hybrid work, and opportunities for professional growth.
- Why this job: Make a real impact on credit risk strategies while developing your analytical skills.
- Qualifications: Experience in credit risk modelling and strong analytical skills required.
- Other info: Collaborative environment with a focus on career development and continuous learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Drive insight. Shape strategy. Strengthen credit risk excellence. We're looking for a highly skilled Senior Credit Risk Modelling & Analytics Specialist to play a pivotal role in delivering the technical and analytical foundations that underpin our Credit Risk function. In this role, you'll partner closely with the Credit Risk Model Owner and Analytics Manager to oversee the full lifecycle of our credit risk modelsâranging from scorecards to IFRS9/ECL modelsâand to ensure our credit analytics and portfolio insights are accurate, robust, and ready to guide senior leadership decisionâmaking. If you thrive at the intersection of data, modelling, and strategic insight, this role offers the opportunity to make a real impact.
Responsibilities
- Credit Risk Model Development & Lifecycle Management
- Provide expert technical support for the development, validation, and implementation of credit risk models (Scorecards, ECL/IFRS9), ensuring alignment with the Bank's model risk management policies.
- Own the model lifecycle planâcoordinating independent validations, monitoring model performance, and ensuring ongoing fitness for purpose.
- Contribute to the development and application of PostâModel Adjustments (PMAs) and management judgment overlays, supporting the Bank's response to economic volatility and model risk.
- Track population stability and key customer characteristics to assess alignment between expected and actual loan portfolio performance.
- Lead analysis to determine LossâtoâReceivable (LTR) assumptions for pricing and loss reserving, supporting the Bank's profitability goals.
- Conduct inâdepth analytics across customer credit profiles and key macroeconomic indicators to highlight emerging risks and opportunities.
- Support the enhancement and implementation of credit risk policies aligned with strategy and regulatory expectations across the UK and European markets.
- Partner with firstâline operations and finance teams to streamline and integrate credit risk processes.
- Produce highâquality technical documentation and insights for Bank Risk Committees.
Qualifications Minimum Requirements we seek:
- Technical Expertise: Established experience in credit risk model development or credit risk analytics within financial services, with handsâon experience in Scorecards and ECL/IFRS9 models.
- Analytical Insight: Ability to turn complex datasets into meaningful insights, clear trends, and strategic recommendations.
- Communication Skills: Excellent written and verbal communication, with the confidence to explain complex modelling and analytics concepts to nonâtechnical stakeholders.
- Degree in Statistics, Mathematics, Economics, Finance, Data Science, or another quantitative discipline.
- Proficiency in SAS, SQL, Python, R, or data visualisation tools.
- Understanding of IFRS9 / US GAAP standards and the regulatory landscape for credit risk.
The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability.
This position is based in Dunton, and it is expected the successful candidate will be able to attend the Dunton office for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements.
As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check. This will be conducted in line with the Rehabilitation of Offenders Act 1974 and applied only to unspent convictions.
Senior Credit Risk Analyst in London employer: Ford Motor
Contact Detail:
Ford Motor Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Credit Risk Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to credit risk modelling. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
â¨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any projects related to credit risk analytics. This will give you an edge and demonstrate your expertise to potential employers.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Credit Risk Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Credit Risk Analyst role. Highlight your experience with credit risk models, analytics, and any relevant technical skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your skills can drive insight and shape strategy at StudySmarter. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, donât forget to showcase your analytical prowess. Mention specific projects or experiences where you turned complex data into actionable insights. We love seeing how you can make data work for us!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures youâre considered for the role. Plus, itâs super easy!
How to prepare for a job interview at Ford Motor
â¨Know Your Models Inside Out
Make sure youâre well-versed in credit risk models, especially Scorecards and ECL/IFRS9. Be ready to discuss your experience with model development and validation, as well as how you've ensured alignment with risk management policies.
â¨Turn Data into Insights
Prepare to showcase your analytical skills by discussing how you've transformed complex datasets into actionable insights. Think of specific examples where your analysis led to strategic recommendations or improved decision-making.
â¨Communicate Like a Pro
Practice explaining technical concepts in simple terms. Youâll likely need to communicate with non-technical stakeholders, so being able to break down complex modelling ideas will be key to demonstrating your communication skills.
â¨Stay Updated on Regulations
Brush up on the latest IFRS9 and US GAAP standards, as well as the regulatory landscape for credit risk. Being knowledgeable about these areas will show that youâre proactive and understand the broader context of your role.