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

Rothstein Recruitment

Greater London

On-site

GBP 90,000 - 130,000

Full time

9 days ago
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Job summary

International Bank is seeking a Risk Analytics Manager to lead the Advanced Analytics function, delivering hands-on analytics, stakeholder management and people development. The role focuses on scalable analytics solutions, dashboards and automation within the Risk function.

You will manage a team, oversee intake and delivery of analytics work, and liaise with senior stakeholders to align scope and timelines while promoting risk governance and compliance across the bank.

Qualifications

  • Experience leading analytics teams in Banking or Financial Services.
  • Strong stakeholder management skills, including influencing senior stakeholders.
  • Hands-on analytics capability alongside people leadership experience.
  • Excellent communication and organisational skills, able to manage competing priorities.
  • Proven coaching and development of analysts.
  • Familiarity with regulatory expectations relevant to Risk.

Responsibilities

  • Lead and manage the Advanced Analytics team, with full line management responsibility for the team.
  • Own intake, prioritisation and delivery of advanced analytics work across Risk and service-partner engagements.
  • Act as primary analytics interface with senior stakeholders to manage scope, timelines and delivery expectations.
  • Design and deliver analytics solutions including regular reporting and dashboards with a focus on scalability and automation.
  • Support modernisation initiatives to improve value, resilience and efficiency.
  • Contribute to the wider Advanced Analytics and Frameworks business plan.
  • Promote adherence to the Bank's Risk Management framework and compliance policies.

Skills

Leadership
Stakeholder management
Hands-on analytics
Communication
People development

Tools

Power BI
Python

Job description

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
  • 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.
Ideal Candidate
  • 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.
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