IFRS9 Modeller in London

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk. We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products. Additionally, the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management. Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology. Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models
• Development and maintenance of economic-response models for scenario simulation and impairment
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo!

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD).
• You have experience in monitoring ECLs and conducting driver analyses
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages:

• Initial call with a member of the impairments team
• Technical IFRS 9 interview
• Values and collaboration behavioural interview
• A live case study problem solving interview

Our average process takes around 3-4 weeks but we will always work around your availability.

What’s in it for you:

• £58,000 to £78,000 + Incentive Awards tied to your performance + Benefits
• London (one to two days a week)
• We can sponsor visas
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• Learning budget of £1,000 a year for books, training courses and conferences
• And much more, see our full list of benefits here