At a Glance
- Tasks: Transform raw bank data into actionable insights for fraud prevention and underwriting.
- Company: Leading financial tech firm focused on innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting career development in a fast-paced, supportive environment.
- Why this job: Join a dynamic team and make a real impact in the world of open banking.
- Qualifications: Experience in machine learning, Python, SQL, and strong communication skills.
The predicted salary is between 81425 - 116438 £ per year.
As a Senior Data Scientist within our Open Banking team, you will build the analytical foundation that turns raw bank account data into reliable, actionable insight for fraud prevention and underwriting decisions. You will engage in feature engineering across incoming and outgoing cash flows to model affordability, and develop machine learning models that estimate probability of default and produce fraud scorecards. You will own the full lifecycle of these models, from raw data through to production deployment, working closely with engineering to operationalize your work at scale. You will also help monitor model performance, impact, and acceptance rates through dashboards you help build, and you will partner closely with the Credit Modeling and Fraud teams to align on shared goals and infrastructure.
Who you are
- Experience building and deploying machine learning models end to end, from raw data to production
- Strong feature engineering skills, ideally with transactional or financial data
- Proficient in Python and SQL, with experience working in AWS environments
- Solid understanding of classification modeling techniques for risk or fraud use cases
- Comfortable partnering closely with engineering teams to bring models into production
- Strong communication skills, with the ability to work cross-functionally with Credit Modeling and Fraud teams
- A curious, ownership-driven mindset, comfortable building infrastructure and processes from scratch
Awesome to have
- Experience with open banking data or affordability modeling
- Familiarity with building dashboards for model monitoring, ideally with tools like Databricks
- Experience with monitoring and observability tools such as Datadog
- Background in underwriting, credit risk, or fraud detection use cases
Please include a CV in English.
Senior/Lead Data Scientist - Open Banking employer: PLP Group
CellPoint Digital is an exceptional employer that champions innovation and collaboration in the heart of London. With a strong focus on employee growth, we offer competitive salaries, a dynamic work culture, and opportunities to lead transformative projects in cloud technology. Join us to be part of a forward-thinking team that values automation, security, and developer experience.
