Risk Analytics Manager - Power BI - Credit Data - Python - International Bank

Excellent opportunity opens to join an International Bank as their new Risk Analytics Manager. You will play a key role in leading the Advanced Analytics function, through hands-on technical delivery, stakeholder management and people development
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• Lead and manage the Advanced Analytics team, with full line management responsibility for the team;
• Own the intake, prioritisation and delivery of advanced analytics work across the Risk function and agreed service-partner engagements;
• Act as the primary advanced analytics interface with senior stakeholders, both in and out of the Risk function, and ensure that the service-partner operating model runs smoothly by actively supporting the setting of scope, timelines and delivery expectations;
• Lead the design and delivery of advanced analytics solutions including regular reporting and dashboards with a focus on scalability and automation;
• Drive and actively support modernisation initiatives that enable high value analysis, operational resilience and structural efficiency;
• Actively support and contribute to the delivery of the wider business plan of the Advanced Analytics and Frameworks area;
• Actively promote and ensure adherence to the Bank's Risk Management framework (including sub-frameworks) and relevant risk and compliance policies and procedures, ensuring timely and appropriate escalation of concerns to relevant senior stakeholders.

• Have experience leading analytics teams within business functions in Banking or Financial Services;
• Be able to demonstrate strong stakeholder management skills including experience influencing senior stakeholders and building an effective cross-functional professional network;
• Be able to demonstrate hands-on analytics capability alongside people leadership experience;
• Possess strong communication and organisational skills, be able to maintain engagement while managing competing priorities;
• Be able to demonstrate knowledge and successful deployment of market leading analytics tools such as Power BI solutions and automation via Python tooling;
• Have a proven track record of coaching and developing analysts;
• Be familiar with regulatory expectations relevant to Risk.