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- Tasks: Lead the development of predictive credit risk models and support regulatory compliance initiatives.
- Company: Join Atom, a forward-thinking bank on its journey to achieve A-IRB waiver.
- Benefits: Enjoy flexible hybrid work, a 4-day work week, and generous pension contributions.
- Why this job: Be part of a dynamic team shaping the future of credit risk modelling with impactful projects.
- Qualifications: Expertise in IRB regulations and predictive modelling techniques is essential.
- Other info: Receive £200 annually for personal development and enjoy private medical insurance.
The predicted salary is between 43200 - 72000 £ per year.
Here at Atom, we are working towards achieving an A-IRB waiver. As a Lead Credit Risk Modeller, you’ll join a team focused on enhancing our credit risk modelling capability. Your work will centre around building and monitoring a full suite of PD, EAD & LGD models as Atom continues its journey towards becoming an IRB accredited bank.
As Lead Credit Risk Modeller, you will primarily focus on developing and implementing various types of predictive models, segmentation strategies, optimisation algorithms & data mining analysis. You’ll also aid the development, maintenance and monitoring of new IRB rating systems, regulatory PD, LGD, EAD & scorecard models.
You’ll also support regulatory and compliance initiatives within Risk such as IFRS9 models and stress testing, credit risk scorecards and simulation models to optimise operational processes and to quantify & manage operational risks. You’ll utilise your expertise in predictive modelling to drive forecasting, pricing, capital & impairment modelling.
IRB knowledge and experience is essential for this role.
You will also:
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Assess IRB regulation within the CRR, SS11/13, EBA GL’s, PRA Rulebook & Basel 3.1 for residential mortgages or business loans.
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Ensure predictive models support regulatory and compliance initiatives within risk such application scorecards, capital and impairment (according to IRB and IFRS9 standards) and stress testing
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Deliver end-user solutions to enable customers to utilise predictive models and to perform what-if analyses
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Provide peer review and challenge to analysis and models developed by other members of the team
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Deliver analysis to support key strategic projects and regular reporting requirements
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Collaborate with cross-functional teams to gather and analyse relevant data for modelling purposes
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Continually improvem the entire modelling process, including maintenance & monitoring
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Build strong, working relationships within Credit Risk and across the business, communicating results to senior stakeholders through a combination of presentations and technical paper.
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Stay current with industry trends and emerging best practices in credit risk modelling.
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Provide support to junior modellers in the form of technical guidance and mentoring.
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Experience with IRB regulation (CRR, SS11/13, EBA GL’s, PRA Rulebook & Basel 3.1)
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Experience in using the following modelling techniques – collaborative filtering, support vector machines, neural networks, linear and logistic regression, decision trees, random forests
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Experience of data analysis tools, such as SQL, R, Python, SAS or similar
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Good communication skills – able to present analysis at all levels of the business and to non-specialists.
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A self-starter with excellence time management skills
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Experience of delivering predictive models to support application or behavioural credit risk scoring, IRB, IFRS9, scorecards, pricing and price elasticity, or product propensity models.
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Flexible Hybrid & Remote working
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4-day work week
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Annual Share Option – performance-related
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Incredibly generous company pension scheme (maximum of 13% of Atom input – you can put in more)
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‘All About Me’ fund: £200 per year to spend on personal development.
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22.5 days annual leave plus public holidays
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Private Medical Insurance, Health Cash Plan & Life Insurance
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Electric Vehicle Scheme
Credit Risk Model Development Lead employer: Atom bank plc
Contact Detail:
Atom bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Model Development Lead
✨Tip Number 1
Make sure to showcase your experience with IRB regulations and the specific frameworks mentioned in the job description. Familiarize yourself with CRR, SS11/13, EBA GL's, PRA Rulebook & Basel 3.1, as this knowledge will be crucial during discussions.
✨Tip Number 2
Highlight your proficiency in predictive modelling techniques such as collaborative filtering, support vector machines, and decision trees. Be prepared to discuss how you've applied these methods in past projects to demonstrate your hands-on experience.
✨Tip Number 3
Emphasize your ability to communicate complex analyses to non-specialists. Prepare examples of how you've successfully presented technical information to stakeholders at various levels, as strong communication skills are essential for this role.
✨Tip Number 4
Stay updated on industry trends and best practices in credit risk modelling. Being knowledgeable about the latest developments will not only help you in interviews but also show your commitment to continuous improvement in the field.
We think you need these skills to ace Credit Risk Model Development Lead
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Lead Credit Risk Modeller position. Familiarize yourself with terms like PD, EAD, LGD, and IRB regulations to demonstrate your knowledge in your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with predictive modelling techniques and tools such as SQL, R, Python, or SAS. Provide specific examples of how you've applied these skills in previous roles, especially in relation to credit risk.
Showcase Communication Skills: Since good communication skills are essential for this role, include examples of how you've effectively communicated complex analyses to non-specialists or senior stakeholders. This could be through presentations, reports, or collaborative projects.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Use keywords from the listing, such as 'regulatory compliance', 'stress testing', and 'data mining analysis' to align your application with what Atom is looking for.
How to prepare for a job interview at Atom bank plc
✨Showcase Your IRB Knowledge
Make sure to highlight your understanding of IRB regulations, including CRR, SS11/13, EBA GL's, PRA Rulebook, and Basel 3.1. Be prepared to discuss how you've applied this knowledge in previous roles, especially in relation to residential mortgages or business loans.
✨Demonstrate Your Modelling Expertise
Be ready to talk about your experience with various predictive modelling techniques such as collaborative filtering, support vector machines, and decision trees. Provide specific examples of how you've used these techniques to develop models that support credit risk scoring or other relevant applications.
✨Communicate Effectively
Since good communication skills are essential for this role, practice explaining complex modelling concepts in simple terms. Prepare to present your analysis clearly to both technical and non-technical stakeholders, showcasing your ability to bridge the gap between data and decision-making.
✨Emphasize Collaboration and Mentoring
Highlight your experience working in cross-functional teams and your ability to mentor junior modellers. Discuss how you’ve contributed to team projects and supported others in their development, as building strong relationships within Credit Risk is key to success in this role.
