At a Glance
- Tasks: Lead a team to innovate in credit risk modelling using Machine Learning and statistical techniques.
- Company: Join a forward-thinking company focused on transforming the credit industry.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and drive strategic decisions in a dynamic environment.
- Why this job: Make a real impact by improving customer outcomes through advanced automated decision-making.
- Qualifications: Strong skills in Python, SQL, and experience in credit risk modelling.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- You are result oriented and motivated by the impact on our customers and business.
- You thrive in a fast-paced environment and are comfortable with frequent context switching.
- You enjoy both 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 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 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 of 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 of 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.
- Google AI platform for cloud computing.
- AWS for backend infrastructure.
- Python for ML model microservices.
- Go lang for most other microservices.
- AI toolings for productivity (an evolving list).
- Google suites including access to Gemini, ChatGPT enterprise, and Claude code.
Machine Learning Manager (Borrowing) in Cardiff employer: Deepstreamtech
As a Machine Learning Manager at our innovative company, you will thrive in a dynamic environment that values your impact on both customers and business outcomes. We foster a collaborative work culture that encourages strategic thinking and hands-on problem-solving, while providing ample opportunities for professional growth and mentorship. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technologies and a diverse range of leaders, ensuring that your contributions drive meaningful change in the credit industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Manager (Borrowing) in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the credit industry and connect with them on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about Python, SQL, and your experience with credit risk models. We want to see you shine when discussing your hands-on projects!
✨Tip Number 3
Show us your leadership chops! Be ready to share examples of how you've mentored others or led cross-functional teams. We love seeing candidates who can inspire and influence their peers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to make an impact in the credit industry.
We think you need these skills to ace Machine Learning Manager (Borrowing) in Cardiff
Some tips for your application 🫡
Show Your Passion for Impact:When writing your application, let us know how motivated you are by the impact on customers and the business. Share specific examples of how you've made a difference in previous roles, especially in fast-paced environments.
Highlight Your Technical Skills:Make sure to showcase your excellent technical skills in Python, SQL, and statistics. We want to see how you've applied these skills in real-world scenarios, particularly in credit risk modelling or similar areas.
Demonstrate Leadership Experience:Since this role involves managing a small team, it's crucial to highlight any experience you have in mentoring or coaching others. Tell us about your successful track record in managing complex projects and working with cross-functional teams.
Tailor Your Application:Take the time to tailor your application to our job description. Use the same language and focus on the key responsibilities and requirements we've outlined. And remember, applying through our website is the best way to get your application noticed!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and statistics. Be ready to discuss your hands-on experience with credit risk models and how you've tackled complex projects in the past. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
As a Machine Learning Manager, you'll be leading a team. Prepare examples of how you've mentored and coached senior ICs before. Think about times when you've inspired your team or influenced stakeholders – these stories will help demonstrate your leadership style.
✨Understand the Business Impact
This role is all about improving customer and business outcomes. Be prepared to discuss how your work in machine learning has directly impacted business decisions or customer experiences. Show that you understand the credit industry and can connect your technical skills to real-world applications.
✨Be Ready for Strategic Thinking
Expect questions that assess your ability to think strategically while also being hands-on. Prepare to discuss how you've balanced these two aspects in previous roles, especially in fast-paced environments. Highlight your innovative thinking and how it led to successful project outcomes.
