At a Glance
- Tasks: Collaborate with audit teams to deliver data-driven insights and develop impactful dashboards.
- Company: Join a global bank's innovative internal audit team focused on data analytics.
- Benefits: Competitive salary, strong benefits package, and hybrid working model.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Make a real impact in banking by leveraging data analytics for internal audits.
- Qualifications: Proficient in data analytics tools and strong communication skills required.
The predicted salary is between 75000 - 89000 € per year.
My client, a global bank, are seeking to strengthen their internal audit team and overall strategy with the critical hire of an AVP Data Analytics specialist. This person will sit within the internal department and will join a team of four existing Data Analytics internal audit professionals. Reporting to a VP, the team supports the internal auditors by using data analytics and maintaining the CAATs for continuous monitoring and auditing.
Key Responsibilities
- Collaborating with audit teams to deliver data‑driven insights.
- Developing dashboards, reports, and presentations for senior management.
- Maintaining documentation and understanding of data structures across firm systems.
- Supporting the delivery of approximately 80 internal audit reports annually.
- Managing and prioritising data analytics requests and development pipelines.
- Collaborating with team members and promoting adoption of analytics tools within the Audit Department.
Qualifications
- Proficiency in data analytics tools (Python, R, ACL, SAS) and visualization platforms (Tableau, Power BI).
- Experience with databases (Oracle, SQL Server) and ETL tools (Alteryx, Talend, Informatica).
- Ability to work independently and collaboratively across teams; influencing skills are important.
- Commercial awareness and understanding of business processes within banking or financial services.
- Strong communication skills both written and verbal.
Location & Working Arrangements
Hybrid model: 2–3 days in the office each week. Based in the City of London.
Compensation
£75‑89k base (depending on level of experience) + strong benefits package and bonus potential.
Application
Please email your CV to . Note that this role will not offer sponsorship.
Audit Manager - Data Analytics in England employer: Jefferson Tiley
As a global bank located in the heart of the City of London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Audit Manager - Data Analytics role offers not only competitive compensation and a robust benefits package but also significant opportunities for professional growth and development within a supportive team environment. Join us to leverage your data analytics expertise while contributing to impactful internal audit strategies in a thriving financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Audit Manager - Data Analytics in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and financial services sector. Let them know you're on the lookout for an Audit Manager role, and who knows? They might just have the inside scoop on openings or even refer you directly.
✨Tip Number 2
Show off your skills! If you've got experience with data analytics tools like Python or Tableau, make sure to highlight that in conversations. Bring examples of your work to interviews or networking events to really impress potential employers.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, or LinkedIn influencers in the data analytics and internal audit space. This will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We’ve got a range of roles that could be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Audit Manager - Data Analytics in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Audit Manager - Data Analytics role. Highlight your experience with data analytics tools and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Communication Skills:Since strong communication skills are key, don’t just list them—demonstrate them! Use clear, concise language in your CV and cover letter. We love seeing candidates who can articulate their thoughts well.
Highlight Collaboration Experience:We’re all about teamwork here at StudySmarter. Make sure to mention any past experiences where you collaborated with others, especially in delivering data-driven insights or reports. It shows us you can work well within our internal audit team.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jefferson Tiley
✨Know Your Data Tools
Make sure you brush up on your proficiency with data analytics tools like Python, R, and Tableau. Be ready to discuss specific projects where you've used these tools to deliver insights or reports, as this will show your practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with audit teams, prepare examples of how you've successfully collaborated in the past. Highlight any instances where you influenced team decisions or promoted the adoption of analytics tools.
✨Understand the Banking Landscape
Familiarise yourself with current trends and challenges in the banking and financial services sector. This knowledge will help you demonstrate commercial awareness and how your skills can contribute to the internal audit strategy.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would manage competing data analytics requests or prioritise development pipelines, and be ready to articulate your thought process clearly.
