At a Glance
- Tasks: Lead AI and data-driven transformations in Financial Services, shaping innovative risk and audit solutions.
- Company: Join a rapidly growing consultancy at the forefront of data-enabled assurance and AI.
- Benefits: Competitive salary, career growth, and the chance to work with top-tier clients globally.
- Other info: Collaborative environment with opportunities for mentorship and professional development.
- Why this job: Make a real impact by integrating cutting-edge technology into financial risk management.
- Qualifications: Experience in Financial Services risk and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
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’ll 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 - Data Analytics in London employer: 慨正橡扯
As a Senior Manager in our AI & Data 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. With a focus on advanced analytics and responsible AI, we offer a unique chance to shape the future of risk and audit functions while enjoying a supportive work culture that values diversity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Data Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Financial Services sector and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Manager role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI, data analytics, and risk management. This will help you stand out during interviews and demonstrate your value to potential employers.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around complex topics like Generative AI and data-led testing. The more comfortable you are discussing these subjects, the better you'll perform.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting roles that could be a perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Manager - Data Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Manager - Data Analytics role. Highlight your experience in Financial Services, AI, and data analytics to show us you’re the perfect fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you an ideal candidate. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills:Since this role involves overseeing analytics projects, make sure to highlight your technical expertise in Python, SQL, and any other relevant tools. We want to see how you’ve used these skills to drive results in past roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data analytics, especially around AI and automation. Brush up on your knowledge of Python, SQL, and any other relevant tools mentioned in the job description. Being able to discuss specific projects or experiences where you've applied these skills will really impress the interviewers.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams and influence senior stakeholders. Prepare examples of how you've successfully managed complex projects or built strong client relationships in the past. Highlight your experience in mentoring and developing team members, as this is crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to risk and internal audit transformations. Think about how you would approach integrating Generative AI into a client's strategy or how you would handle a challenging stakeholder. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Demonstrate Commercial Acumen
The role requires a strong understanding of business development and market trends. Be ready to discuss how you've identified opportunities for growth in previous roles and how you can contribute to the firm's objectives. Showing that you understand the financial services landscape and can drive business success will set you apart.
