Flexa
Atom Bank • Remote/Durham

Lead Credit Risk Modeller

Employment type:  Full time
Salary:  £50000 - £70000 per annum 4 Day Week

Remote-first – Occasional visits to the Durham office

4-day week

A little flex time

Job Description

What’s it all about?

Insight and Intelligence drives Atom.

The Insight & Intelligence team leverage Big Data tech, to maximise the returns from our data assets, by providing MI, exploratory analysis & predictive models. These shape & deliver strategies in pricing, direct marketing, product optimisation, credit risk & fraud.

Here at Atom we are embarking on an exciting programme of work, to achieve an A-IRB Waiver by FY25. As Lead IRB 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.

In this role you will support initiatives in the regulatory & compliance space within risk such as IRB, forecasting & stress testing. You’ll also provide support and guidance to a team of Credit Risk Modellers, providing oversight to the work they produce.

IRB knowledge and experience is essential for this role.

What will your ‘typical’ day look like…. (there’s no 2 days the same in Atom):

  • Assessment of IRB regulation within the CRR, SS11/13, EBA GL’s, PRA Rulebook & Basel 3.1 for residential mortgages or business loans
  • Developing and implementing various types of predictive models, segmentation strategies, optimisation algorithms and data mining analysis
  • Monitor and maintaining models to ensure that they remain fit for purpose
  • Develop and implementing various types of predictive models, segmentation strategies, optimisation algorithms and data mining analysis to drive pricing and liquidity management
  • 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
  • Create simulation models to help optimise operational processes and quantify and manage operational risks.

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.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
4-day week
Sabbaticals
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Shared parental leave
22.5 days annual leave + bank holidays
Teambuilding days

We asked employees of Atom Bank how satisfied they were with flexible working, and this is what they told us

Location
89%
Employees are very happy with their working location freedom
Hours
83%
Employees are very happy with the flexibility in the hours they work
Benefits
77%
Employees are largely happy with the benefits their company offers
Work-life balance
79%
Employees feel that they can switch off quite easily from work
Role modelling
79%
Employees feel that most people work flexibly
Autonomy
84%
Employees feel they have complete autonomy over getting their work done
Working at Atom Bank

Company employees

520

Gender diversity (male:female)

58:42

Office locations

Durham & London

Funding levels

£500m+

Hiring Countries

United Kingdom
Awards & Achievements

Flexa100 2024

Most flexible companies

Industry awards 2023

Finance & Insurance