The ICB (International Consumer Bank) business within JPMorgan has grown significantly since its launch in 2021, and we expect the business to expand further over the next few years. Join the expansion of the Chase digital bank across the UK and Europe and help us continue to build our award-winning bank.

As a Vice President within the Risk Modelling Team, you will utilize your data science knowledge and expertise in fraud and credit to create predictive and machine learning models aimed at minimizing the bank's susceptibility to fraud and credit risk. You will be responsible for identifying the most effective modelling solutions, whether they are internal or external, and for developing new statistical and machine learning models. In close collaboration with the model review teams, you will ensure that all our models adhere to the policies and standards of JPMorgan Chase & Co.

Job responsibilities

• Develops statistical and machine learning models to reduce fraud and credit risk within the bank.
• Reviews modelling solutions from third party vendors to assess suitability.
• Collaborates closely with partners in the business, technology, and model governance.
• Engages with senior business leaders and drive a risk modelling pipeline for the organization.
• Operates model controls to ensure that our models meet regulatory and firmwide standards.
• Leads projects and mentoring junior team members to successfully build expertise across the team.

Required qualifications, capabilities, and skills

• Expertise in the development of statistical and machine learning risk models.
• Coding expertise in Python, data science packages and ML libraries (e.g., TensorFlow or scikit-learn)
• A fraud and credit professional with a deep understanding of fraud or credit risk, and the associated financial service regulations.
• Demonstrate excellent written and oral communication skills to clearly present analytical findings and make business recommendations.
• Able to work effectively, delivering value whilst managing fast paced change.
• Evidence of initiative, driving results, teamwork, and collaboration.
• MSc or international equivalent in a numerical discipline such as mathematics, engineering, computer science, physical or biological sciences, economics, or business.