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- Tasks: Lead data governance initiatives and modernise data architecture for financial institutions.
- Company: Join a leading financial services firm focused on operational risk management.
- Benefits: Enjoy competitive salary, flexible working options, and professional development opportunities.
- Why this job: Be at the forefront of data strategy, influencing key decisions and driving positive change.
- Qualifications: Master’s degree preferred with 6+ years in consulting or executive roles; certifications are a plus.
- Other info: Ideal for those passionate about data accountability and regulatory compliance.
The predicted salary is between 72000 - 108000 £ per year.
Act as a strategic advisor and engagement lead, providing executive oversight and direction for the client’s OCC-driven data remediation initiatives. Ensure alignment of data management and governance and quality improvement strategies with regulatory requirements and business objectives.
Key Responsibilities / Duties
- Define and communicate the strategic vision for data governance remediation to client executives.
- Guide the client in modernizing data architecture, risk aggregation, and regulatory reporting processes.
- Advise on development and enforcement of enterprise-wide data policies, standards, and controls.
- Support executive and Board-level reporting and engagement with OCC or other regulators.
- Lead efforts to foster a culture of data accountability and continuous improvement within the client organization.
Required Skill Sets & Requirements
- Enterprise Data Analysis and Management: Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management.
- Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk, third party risk, Processing risk, Services and Enterprise ops risk, Regulatory management reporting and financial statement reporting risk. Responsibilities include requirements gathering, data acquisition, data quality assessment, and building risk monitoring tools. Deep knowledge of regulatory frameworks (BCBS 239) and experience supporting regulatory remediation.
- Technical & Analytical: Programming proficiency in Python, SQL and reporting tools like Tableau, PowerBI, and Jira. Experience guiding IT modernization, system integration, and process optimization. Advanced problem-solving, decision-making, and client advisory skills.
- Communication & Board Reporting: Excellent communication, negotiation, and presentation skills with demonstrated experience in Board-level engagement.
Qualifications
- Master’s or advanced degree preferred.
- 6+ years’ experience in consulting or executive roles in financial services.
- Professional certifications (CDMP, PMP) highly desirable.
VP - Operational Risk Data Management employer: Crisil
Contact Detail:
Crisil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP - Operational Risk Data Management
✨Tip Number 1
Network with professionals in the financial services sector, especially those who have experience in operational risk and data management. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends in data governance.
✨Tip Number 2
Familiarise yourself with the specific regulatory frameworks mentioned in the job description, such as BCBS 239. Understanding these regulations will not only enhance your knowledge but also demonstrate your commitment to compliance during interviews.
✨Tip Number 3
Showcase your technical skills by working on relevant projects or case studies that involve Python, SQL, or data visualisation tools like Tableau and PowerBI. Having practical examples ready can set you apart during discussions with our hiring team.
✨Tip Number 4
Prepare for interviews by developing a clear narrative around your previous experiences in data management and operational risk. Be ready to discuss how you've successfully implemented data policies and improved data quality in past roles.
We think you need these skills to ace VP - Operational Risk Data Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data analysis and management, particularly within large financial institutions. Emphasise your understanding of regulatory frameworks and operational risk domains relevant to the role.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your strategic vision for data governance remediation. Discuss how your skills align with the responsibilities outlined in the job description, especially your experience with regulatory compliance and data quality metrics.
Showcase Technical Skills: Include specific examples of your programming proficiency in Python and SQL, as well as your experience with reporting tools like Tableau and PowerBI. Highlight any projects where you guided IT modernization or process optimisation.
Prepare for Board-Level Engagement: Since the role involves communication with executives and board members, prepare to discuss your experience in board-level reporting. Provide examples of how you've successfully engaged with stakeholders and communicated complex data strategies.
How to prepare for a job interview at Crisil
✨Understand the Regulatory Landscape
Familiarise yourself with key regulatory frameworks, especially BCBS 239. Be prepared to discuss how your experience aligns with these regulations and how you can help the company navigate compliance challenges.
✨Showcase Your Data Management Expertise
Highlight your extensive experience in data analysis and management within large financial institutions. Be ready to provide specific examples of how you've designed and implemented successful data programmes.
✨Demonstrate Technical Proficiency
Be prepared to discuss your programming skills in Python and SQL, as well as your experience with reporting tools like Tableau and PowerBI. Consider bringing a portfolio or examples of your work to illustrate your technical capabilities.
✨Prepare for Board-Level Engagement Scenarios
Since the role involves communication with executives and board members, practice articulating complex data concepts in a clear and concise manner. Think of scenarios where you've successfully engaged with senior stakeholders and be ready to share those experiences.
