Job responsibilities
- Lead and manage a growing team across London and India.
- Onboard and manage vendor models, ensuring alignment with internal standards and regulatory requirements.
- Develop and implement machine learning solutions for fraud detection and prevention, as well as credit risk management.
- Collaborate with technology teams to design modeling platforms and integrate models into operational systems.
- Drive innovation in modeling techniques and tools to enhance risk assessment capabilities.
- Ensure alignment of modeling activities with the overall business strategy and objectives.
- Collaborate with various partners in Marketing, Finance, Technology, Risk, Model Governance, Compliance, Legal, etc., throughout the entire modeling lifecycle.
- Manage model risk and related governance and controls.
- Support audit and regulatory exams.
- Communicate complex modeling concepts and results to senior management and stakeholders.
Required qualifications, capabilities, and skills
- Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, Econometrics, etc.
- Demonstrated effective people management and talent development skills.
- Ability to manage multiple priorities and deliver results in a fast-paced environment.
- Deep familiarity with consumer banking and lending markets in the UK/Europe.
- In-depth knowledge of regulatory requirements and compliance in the financial industry.
- Deeply experienced in designing, building, and deploying production-quality models utilizing statistical and Machine Learning (ML) techniques in a financial institution. Examples include fraud models, credit decisioning models, account management models, and collections/recovery models.
- Experience in vendor model management and platform development for internal models.
- Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations.
- Strong written and verbal communication skills, including influencing and presentation skills.
Preferred qualifications, capabilities, and skills
- Experience in managing global teams and working with various business partners and stakeholders across lines of business and countries.
- Familiarity with the latest AI and machine learning techniques in consumer banking.
- Experience in working with regulators in the UK, Europe, and the US.