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Senior Forecasting Modeller

London

🚀 We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

 

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) 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.

Within CIF, we are scaling up our Forecasting modelling and execution 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 forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

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, model implementation and data visualisation (via streamlit)
  • Github for version control

Your day-to-day responsibilities:   

  • Assist with continuous improvement of forecasting models via new developments or recalibrations.
  • Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
  • Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
  • Presenting forecast model results to senior management
  • Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

  • You have a background in forecast modelling or execution
  • You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
  • You have strong analytical skills and a track record of using these to deliver technical projects
  • You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or 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: 

  1. Initial call with a member of the Forecasting team
  2. Technical modelling interview 
  3. Values and collaboration behavioural interview
  4. 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:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ 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 

#LI-LG1  #LI-Remote

Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

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