At a Glance
- Tasks: Develop and manage financial forecasting models to drive impactful decisions.
- Company: Join a forward-thinking finance team at Monzo, known for innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career development.
- Why this job: Make a real difference in finance while enhancing your analytical skills.
- Qualifications: Experience in financial modelling, SQL, and Python; strong analytical mindset.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You have a background in financial forecast modelling or execution.
- 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. 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 the job involves
- 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 enhancement of modelling standards across Finance.
- The role holder will have the opportunity to lead a ‘consultancy style’ centre of excellence providing thought leadership on the methodological design and regulatory compliance assessment on all Financial forecasting models that feed the banks’ budgeting and stress-testing activities.
- This will expand to hands‑on delivery of model developments, where appropriate.
- Strong data and analytical skills are a must, as is experience in financial modelling and coding (Python and SQL preferred).
- Experience working in regulatory stress testing exercises (such as ICAAP or EBA Stress-testing) is highly desirable but not essential.
- We rely heavily on the following tools and technologies: 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 data visualisation (via Streamlit), Anaplan for model implementation, Github for version control.
- Assist with continuous improvement of forecasting models via individual delivery or through others.
- Development of best practices for financial modelling across Monzo.
- Presenting forecast model results to senior management.
- Close collaboration with portfolio strategy, model validation, finance and external audit teams.
Finance Forecasting Modeller employer: Deepstreamtech
At Monzo, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Finance Forecasting Modeller, you will have the opportunity to make a significant impact on our financial strategies while working alongside talented professionals in a supportive environment that encourages personal and professional growth. With access to cutting-edge tools and technologies, as well as a commitment to continuous improvement, Monzo offers a unique platform for you to thrive and contribute meaningfully to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Forecasting Modeller
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and modelling space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial forecasting models or any relevant projects. This gives potential employers a taste of what you can do, especially with SQL and Python.
✨Tip Number 3
Prepare for interviews by practising common questions related to financial modelling and data analysis. Use clear language to explain complex concepts, just like we do at StudySmarter!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Finance Forecasting Modeller
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your background in financial forecasting and any technical skills you have, especially in SQL and Python. We want to see how your analytical prowess can contribute to our team!
Keep It Clear and Simple:When writing your application, remember to communicate complex ideas in a straightforward way. We love clarity, so use simple language to explain your experience and how it relates to the role.
Be Impact-Driven:Let us know how you've made a positive impact in your previous roles. We’re looking for self-starters who proactively tackle challenges, so share examples of how you've identified and solved problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Numbers
Brush up on your financial forecasting models and be ready to discuss specific examples from your past work. Make sure you can explain how you used SQL or Python in your projects, as this will show your technical prowess.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since the role involves conveying information to non-experts, think about how you would break down a complicated model or analysis for someone without a technical background.
✨Show Your Impact Mindset
Be prepared to share instances where you've proactively identified issues or opportunities in your previous roles. Highlight how your actions led to positive outcomes for your team or company, demonstrating that you're impact-driven.
✨Team Player Vibes
Think of examples that showcase your ability to collaborate effectively with others. Whether it’s working with credit teams or presenting to senior management, showing that you’re reliable and a good team player will resonate well.
