Risk Analytics Manager - Banking - Power BI - Python - Rothstein Recruitment - #2112743

Risk Analytics Manager - Banking - Power BI - Python

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.

Main Responsibilities

1. Lead and manage the Advanced Analytics team, with full line management responsibility for the team;
2. Own the intake, prioritisation and delivery of advanced analytics work across the Risk function and agreed service-partner engagements;
3. 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;
4. Lead the design and delivery of advanced analytics solutions including regular reporting and dashboards with a focus on scalability and automation;
5. Drive and actively support modernisation initiatives that enable high value analysis, operational resilience and structural efficiency;
6. Actively support and contribute to the delivery of the wider business plan of the Advanced Analytics and Frameworks area;
7. 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.

Ideal Candidate

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

Interested? Please Apply!

Advanced Analytics Risk Analytics 2LOD Second Line Of Defence Credit Risk Power BI Python Risk Credit-Risk Bank Banking Finance Business Intelligence