Senior Vice President - Data Scientist - Risk Analytics & Innovation

Sr. VP -Data Scientist - Risk Analytics & Innovation

Purpose:

We are seeking a highly capable and curious leader with strong data science experience to lead the Risk Innovation and Analytics team. This role is central to supporting colleagues across the organization-helping to shape, support, and deliver key risk metrics across the design, development, and delivery of data-driven solutions for risk division stakeholders. You will work within a multi-disciplinary team to produce and answer regulatory outputs and enquiries, build interactive dashboards, solve complex problems, uncover insights, and contribute to strategic initiatives across Risk and Enterprise Data & Analytics.

Key Responsibilities:

- Lead, mentor, and inspire a team of data scientists and analysts, aligning efforts to deliver impactful business outcomes.

- Develop and deploy advanced analytics and machine learning solutions to address risk-related business challenges.

- Collaborate with stakeholders to translate business requirements into actionable analytics solutions.

- Build and maintain reporting and visualization assets to communicate insights to technical and non-technical audiences.

- Work with structured and unstructured data sources (e.g., complaints, customer feedback, chat logs) to drive decision-making.

- Ensure regulatory and compliance outputs are produced accurately and efficiently.

- Champion best practices in version control, code quality, and reproducible analytics.

Capabilities:

- Advanced proficiency in Python (or R) and SQL for data transformation and analytics.

- Confident with version control tools such as GitHub.

- Experience working with cloud-based or enterprise data science platforms (e.g., Databricks, similar environments).

- Ability to understand, develop, and apply advanced analytics and machine learning techniques.

- Skilled with data visualization tools (e.g., Power BI, Tableau).

- Strong stakeholder engagement and communication skills.

- Skilled at translating business content and requirements into actionable analytics solutions.

- Proven ability to lead, inspire, and mentor teams while aligning efforts to deliver impactful business outcomes.

- Comfortable presenting insights and recommendations to both technical and non-technical audiences.

- A growth mindset with a passion for continuous learning and innovation.

Experience:

- Proven experience developing advanced analytical solutions in a business environment.

- Domain expertise in risk (e.g., credit, operational, or regulatory risk) is highly appreciated.

Qualification Requirements:

- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field; or equivalent industry experience.