Full time
Information Technology
Telecommunications
Job Description
Requirements
You are result oriented and motivated by the impact on our customers and business
You thrive in a fast-paced environment and comfortable with frequent context switching
You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
You want to build trust and influence a diverse range of leaders and stakeholders
You like inspiring people around you, with innovative thinking and high standard execution
Excellent technical skills in Python, SQL, and statistics
Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
Hands on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
Successful track record of managing complex projects, with cross functional teams and senior stakeholders
Experience of mentoring and coaching senior ICs
Previous experience of managing data and model governance in a regulated business
What the job involves
The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling
We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing
You will be taking a hands on technical leadership role, managing a small team of Senior ML Scientists
With in-depth knowledge and experience in the credit industry, you'll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products
You'll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps
You'll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry
With excellent technical skills, you'll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to / build better models easier and faster
You'll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio
You'll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies
We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):
Google Cloud Platform for all of our analytics usages
BigQuery SQL and dbt for our data modelling and warehousing
PyData stack for model development and offline deployment