At a Glance
- Tasks: Lead AI-driven risk and data analytics projects for major financial institutions.
- Company: Join a rapidly growing consultancy focused on innovative financial solutions.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Shape the future of risk management with advanced analytics and Generative AI.
- Qualifications: Experience in financial services risk and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
The Opportunity
Our Process & Controls practice is undergoing rapid growth, driven by growing demand for data-enabled assurance, intelligent controls, and responsible AI adoption across Financial Services. We partner with global banks, asset managers, insurers and payment institutions to help transform their risk and internal audit functions – embedding advanced analytics, automation, and Generative AI into the heart of how they operate.
As a Senior Manager in our AI & Data team, you will take a leading role in shaping and delivering next-generation assurance solutions. You will work at the intersection of technology, risk and business change – designing and overseeing innovative analytics, advising senior stakeholders, and helping clients modernise their control environments for a digital future. This is a unique opportunity to influence one of the fastest-growing capabilities in the firm while accelerating your career in an ambitious, collaborative and internationally connected team.
Your Key Responsibilities
- Strategic Impact & Client Leadership
- Lead the design and delivery of AI and data-enabled risk, controls and internal audit transformation programmes across major Financial Services organisations.
- Build and nurture senior client relationships (CAE, CRO, CIO, Heads of Audit/Controls) and act as a trusted advisor on topics including data-led testing, control automation and digital risk.
- Shape client strategy and roadmaps for integrating Generative AI, analytics and automation into their risk and audit capabilities.
- Commercial & Practice Leadership
- Own a business development contribution, including identifying opportunities, shaping proposals and supporting the conversion of a healthy pipeline of work.
- Develop market-leading propositions in areas such as AI assurance, model risk management, data risk and automated controls testing.
- Contribute to the leadership of the wider practice, including recruitment, performance management and capability building.
- Delivery Excellence & Technical Oversight
- Oversee multidisciplinary teams to deliver high-quality AI, data analytics and internal audit engagements – ensuring compliance with methodologies and quality standards.
- Provide expert challenge and direction to technical teams working with Python, SQL, Alteryx or other tools to conduct analytics, automate testing or evaluate model risks.
- Translate complex data outputs into actionable insights for risk, control and audit stakeholders.
- Drive innovation across engagements, championing the use of analytics platforms, cloud technologies and Generative AI where appropriate.
- People Leadership
- Mentor, coach and develop diverse junior and mid-level team members, fostering an inclusive, high-performing environment.
- Role-model collaborative leadership, resilience and a commitment to continuous learning.
Skills & Attributes for Success
- Consulting & Leadership
- Ability to lead complex engagements and influence senior stakeholders across all functions within client organisations.
- Strong commercial acumen with experience contributing to business growth.
- High levels of drive, accountability and the ability to deliver under pressure.
- AI & Data Expertise
- Strong knowledge of how technologies – including analytics, automation, machine learning and Generative AI – can transform risk, controls and internal audit.
- Experience overseeing analytics projects and reviewing code in Python and SQL; familiarity with other languages such as R or Java is a plus.
- Financial Services Risk, Controls & Audit
- Experience delivering or overseeing internal audit, control testing and/or risk-related analytics within Financial Services, either in consulting or industry.
- Understanding of evolving regulatory expectations, including AI governance, model risk management and data risk.
To Qualify for the Role, You Must Have
- Significant experience in Financial Services risk, controls and internal audit – ideally within a Big 4, global consultancy or major FS institution.
- Proven ability to lead and grow client relationships at a senior level.
- Demonstrable experience managing data analytics or AI initiatives within a risk or assurance context.
- Experience using analytics tools and AI techniques to drive efficiency or effectiveness improvements in audit or control processes.
- Track record of delivering high-quality presentations and insights to internal and external audiences.
Ideally, You’ll Also Have
- Experience with data management, data governance, model risk or AI assurance frameworks.
- A background in designing or reviewing analytics or models using Python, R or related libraries.
- Experience working with blue-chip Financial Services clients on complex change or regulatory programmes.
Senior Manager — AI-Driven Risk & Data Analytics employer: EY
As a Senior Manager in our AI-Driven Risk & Data Analytics team, you will thrive in a dynamic and collaborative environment that champions innovation and professional growth. Our commitment to employee development is reflected in our mentorship programmes and opportunities to lead transformative projects for prestigious clients in the Financial Services sector. Join us to be part of a forward-thinking culture that embraces advanced technologies and fosters a diverse workforce, all while making a meaningful impact on the future of risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager — AI-Driven Risk & Data Analytics
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI, data analytics, and risk management. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Be proactive! Don’t wait for job postings to appear. Reach out directly to companies you’re interested in, like us at StudySmarter, and express your interest in working with them. You never know what opportunities might be lurking!
✨Tip Number 4
Prepare for interviews by understanding the latest trends in AI and data analytics. Brush up on your knowledge of tools like Python and SQL, and be ready to discuss how you can help transform risk and audit functions. We want to see your passion and expertise!
We think you need these skills to ace Senior Manager — AI-Driven Risk & Data Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Manager in AI-Driven Risk & Data Analytics. Highlight your experience in financial services, data analytics, and any relevant AI initiatives you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience with senior stakeholders and your approach to innovative analytics.
Showcase Your Achievements:When detailing your experience, focus on specific achievements that demonstrate your impact in previous roles. Whether it's leading a successful project or improving processes through AI, we love to see quantifiable results that highlight your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at EY
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Generative AI. Brush up on your knowledge of how these tools can transform risk and audit processes, as you’ll need to demonstrate your expertise during the interview.
✨Showcase Your Client Leadership Skills
Prepare examples that highlight your experience in building and nurturing senior client relationships. Think about times when you acted as a trusted advisor and how you shaped client strategies. This will show that you can lead complex engagements effectively.
✨Demonstrate Your Commercial Acumen
Be ready to discuss how you've contributed to business growth in previous roles. Think of specific instances where you identified opportunities or shaped proposals that led to successful outcomes. This will illustrate your understanding of the commercial side of consulting.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges related to data analytics and AI. Brush up on your ability to translate complex data outputs into actionable insights, as this is crucial for the role. Practising coding problems or case studies can help you feel more confident.
