Senior Provisioning and Forecasting Modeller, Borrowing

Monzo Bank; London; Hybrid; GBP 69,000 - 95,000; Full time

Job summary

An innovative financial institution is seeking a talented individual to join their Borrowing Credit & Data team. This pivotal role focuses on developing and implementing forecasting models, enhancing analytical dashboards, and collaborating with senior management to drive data-driven decisions. The ideal candidate will possess strong analytical skills, a solid technical toolkit including SQL and either Python or R, and a passion for making a positive impact. With a flexible working environment and a commitment to personal development, this is an exciting opportunity to contribute to a dynamic team in a rapidly evolving sector.

Benefits

Share options

Relocation assistance

Visa sponsorship

Flexible working hours

£1,000 learning budget

Macbook provided

Work-from-home support

Qualifications

• Strong background in IFRS9 impairments and stress testing required.
• Experience in developing and validating Credit Models is essential.

Responsibilities

• Develop and maintain Stress Testing and Forecasting models.
• Participate in ICAAP and Budgeting processes, presenting results to senior management.

Skills

IFRS9 impairments

Stress testing

Credit Models development

Analytical skills

SQL

Python or R

Data visualization (Tableau, PowerBI, Looker)

Communication skills

Proactive mindset

Team player

Tools

SQL

Python

R

Tableau

PowerBI

Looker

Job description

Cardiff, London or Remote (UK) | £69,000 - £95,000 + Benefits | Technology - Credit & Data

Monzo’s Borrowing Credit & Data team

Our Borrowing Credit & Data team is the largest and most diverse team within Monzo’s Data Discipline, and is also one of the largest parts of the Borrowing Collective.
This team sits at the core of our lending business. We design products, decide who to lend to, set underwriting policy, track the volume of new originations, identify customers who need help, manage the portfolio, measure risk and compute the core metrics required both for Monzo’s senior management and for our external financial reporting. We set prices, build predictive models, run experiments, build dashboards, enhance data pipelines and manage Monzo’s credit risk.

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

We are scaling up our Capital, Impairment and Forecasting modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will build up our forecasting capabilities and tools and will have significant exposure to critical business processes such as budgeting & ICAAP. Additionally, the successful individual will lead the development and integration of the next generation of analytical dashboards, ECL decomposition and will have regular interaction with the senior management.

You’ll play a key role by...

• Development, implementation and maintenance of Stress Testing and Forecasting models
• Participate in business critical processes such as ICAAP and Budgeting, including presenting results to 2LOD, senior management and Execs
• Develop the next generation of performance tracking and analytics toolbox. These would include short horizon forecasting, root cause analysis, ECL decomposition, SICR efficiency.
• Develop and maintain economic-response models for scenario simulation and impairment
• Actively involved in our monthly provisions process, and delivering outcomes to Monzo’s senior team (including our Head of Borrowing, CFO and CRO). These activities will include preparing analysis; proposing model adjustments / calibrations; discussing emerging regulatory changes and best practices (SS1/23; ‘Dear CFO letter’); presenting materials to the monthly impairment council.
• Review and challenge a wider range of modelling solutions across the Borrowing collective (including IFRS 9, NPV, pricing etc.)
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

We’d love to hear from you if…

• You have a strong background in IFRS9 impairments and stress testing
• You have extensive experience in developing, validating or monitoring Credit Models (impairment, stress testing, forecasting)
• 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

What’s in it for you

£69,000-95,000 share options.

️ We’ll help you relocate to the UK.

We can sponsor your visa.

This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)

We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.

£1,000 learning budget each year to use on books, training courses and conferences.

We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

Plus lots more! Read our full list of benefits.

Our interview process involves 4 main stages:

1. Recruiter Call
2. Initial Call with the hiring manager
3. Take Home Task (SQL)
4. Final Stage interviews (x3)

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [e-mail]

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