At a Glance
- Tasks: Lead teams in tackling complex financial crimes using data analytics and AI.
- Company: A leading global consultancy with a focus on innovation and client relationships.
- Benefits: Continuous learning opportunities, leadership roles, and competitive compensation.
- Why this job: Make a real impact in the fight against financial crime while advancing your career.
- Qualifications: Extensive experience in financial services, data engineering, and AI.
- Other info: Join a dynamic team dedicated to solving complex compliance issues.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading global consultancy is seeking an experienced individual to join their Forensic Data Analytics team. This role emphasizes the development of client relationships, management of data-driven assignments, and leading teams to tackle complex financial crimes and compliance issues.
The ideal candidate will possess extensive experience in the financial services industry, particularly in data engineering and AI. This position offers opportunities for continuous learning and leadership.
Senior Manager, Forensic Data Analytics - FS AI in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Manager, Forensic Data Analytics - FS AI in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the financial services industry and let them know you're on the lookout for opportunities. You never know who might have a lead or can introduce you to someone at that leading global consultancy.
β¨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, highlight your experience in data engineering and AI. Share specific examples of how you've tackled complex financial crimes and compliance issues in the past.
β¨Tip Number 3
Prepare for interviews by brushing up on the latest trends in forensic data analytics. We recommend researching case studies or recent developments in the field so you can impress your interviewers with your knowledge and passion.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Manager, Forensic Data Analytics - FS AI in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in forensic data analytics and the financial services industry. We want to see how your skills align with the role, so donβt be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about tackling financial crimes and how your background in data engineering and AI makes you the perfect fit for our team.
Showcase Leadership Experience: Since this role involves leading teams, be sure to include examples of your leadership experience. We love to see how you've managed projects or guided teams through complex challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for this exciting opportunity in our Forensic Data Analytics team!
How to prepare for a job interview at EY
β¨Know Your Data Inside Out
Make sure youβre well-versed in the latest trends and technologies in forensic data analytics, especially in the financial services sector. Brush up on your knowledge of data engineering and AI applications, as these will likely come up during the interview.
β¨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing complex projects. Think about specific challenges you've faced and how you guided your team to success, as this role emphasises leadership in tackling financial crimes.
β¨Build Rapport with Interviewers
Since client relationships are key in this role, practice building rapport during your interview. Be personable, ask insightful questions, and show genuine interest in the companyβs work and values. This will demonstrate your ability to connect with clients.
β¨Continuous Learning Mindset
Express your enthusiasm for continuous learning and professional development. Share any recent courses or certifications youβve completed related to data analytics or AI, as this aligns with the companyβs focus on growth and innovation.