Lead Credit Risk Modeller

Job Description

We’re Atom bank

The bank that’s leading the fintech charge!

We’re not like the rest. We’re true innovators, and we’re redefining what a bank should be. Ours is a bank for today and the future, a mobile-first bank. Forget the stuffy branches, with Atom you can bank whenever, wherever, faster, and simpler.

Could you be the next innovator to join us?

What will your ‘typical’ day look like… (there’s no two days the same in Atom):

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:

• Assess IRB regulation within the CRR, SS11/13, EBA GL’s, PRA Rulebook & Basel 3.1 for residential mortgages or business loans.
• 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
• Deliver end-user solutions to enable customers to utilise predictive models and to perform what-if analyses
• Provide peer review and challenge to analysis and models developed by other members of the team
• Deliver analysis to support key strategic projects and regular reporting requirements
• Collaborate with cross-functional teams to gather and analyse relevant data for modelling purposes
• Continually improve the entire modelling process, including maintenance & monitoring
• Build strong, working relationships within Credit Risk and across the business, communicating results to senior stakeholders through a combination of presentations and technical paper.
• Stay current with industry trends and emerging best practices in credit risk modelling.
• Provide support to junior modellers in the form of technical guidance and mentoring.

What do we need from you?

• Experience with IRB regulation (CRR, SS11/13, EBA GL’s, PRA Rulebook & Basel 3.1)
• Experience in using the following modelling techniques – collaborative filtering, support vector machines, neural networks, linear and logistic regression, decision trees, random forests
• Experience of data analysis tools, such as SQL, R, Python, SAS or similar
• Good communication skills - able to present analysis at all levels of the business and to non-specialists.
• A self-starter with excellence time management skills
• Experience of delivering predictive models to support application or behavioural credit risk scoring, IRB, IFRS9, scorecards, pricing and price elasticity, or product propensity models.

What you’ll get from us:

• Flexible Hybrid & Remote working.
• 4-day work week
• Annual Share Option – performance-related
• Incredibly generous company pension scheme (maximum of 13% of Atom input)
• ‘All About Me’ fund: £200 per year to spend on personal development
• 22.5 days annual leave plus public holidays
• Private Medical Insurance, Health Cash Plan, Life Insurance & Critical illness cover
• Electrical Vehicle Scheme