At a Glance
- Tasks: Lead complex data and AI projects in financial services, focusing on fraud and compliance.
- Company: Join EY, a global leader in professional services, committed to building a better working world.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse, inclusive culture.
- Why this job: Make a real impact in high-profile cases while developing your skills in a supportive environment.
- Qualifications: Extensive experience in financial services, data engineering, and AI technologies is essential.
- Other info: Opportunity to mentor teams and lead innovative tech solutions in a dynamic setting.
The predicted salary is between 54000 - 84000 £ per year.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and cutting-edge technologies to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.
With high-profile corporate fraud and regulatory non-compliance cases at the forefront of the news, it is more important than ever for businesses to maintain the authoritative knowledge it takes to investigate, detect, prevent and monitor for risks. Additionally, with the growing volumes of disparate data, advancement in AI technologies and increasing global regulatory scrutiny coupled with changing regulations, it is critical for businesses to accelerate intelligent decision making, continue to adopt AI technologies and build more efficient finance, legal and compliance functions.
The opportunity EY’s Forensic Data Analytics (FDA) team is a growing global, AI and data-focused group within the Forensic & Integrity Services department. We work across all lines of businesses in Financial Services (FS) industry with a specific focus on Financial Crime, Fraud, Legal and Regulatory domain. This role will combine extensive FS industrial experience, analytical skills and deep understanding Data and AI capabilities to help our clients in dealing with their complex issues.
Your key responsibilities include:
- Experience across all four areas of our leadership expectation: clients, business, team and personal.
- Lead teams, manage clients and complex assignments, grow business in a commercial way which adheres to our values, and inspire others through your own behaviours.
- Develop/maintain productive relationships with client management including C Suite executives.
- Develop new business development initiatives, go to market campaigns, sales sprints, leading end-to-end bid processes, engagement delivery and knowledge management with a proven experience of achieving sales targets greater than £1m per year.
- Strong problem solving skills to support clients on a comprehensive range of issues in relation to financial crime, fraud, regulatory and compliance, litigation and other adverse events in the Financial Services industry.
- Lead complex Data and AI-led assignments, review the work prepared by the engagement teams to ensure that it meets EY’s quality standards and the client’s expectations.
- Monitor engagement progress to manage and mitigate risks and resolving any issues that may arise during the project.
- Ensure successful completion of project objectives within timescales and budget.
- Direct management of senior client stakeholders, investigators, internal and external auditors, lawyers and regulatory authorities during sensitive and sometimes adversarial situations.
- Lead the development of training, recruiting, resourcing projects, and/or other practice-wide needs to create a positive work and learning culture.
- Define best practices, processes, and standards to ensure realisation of measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients.
To qualify for the role you must have:
- Extensive deep expertise in Financial Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance.
- End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies.
- Leading large and complex data and AI-driven programmes and innovating reusable tech solutions through problem solving.
- Developing and mentoring data engineering and data science teams.
Ideally, you’ll also have:
- Previous Big 4 and large consulting firms experience is an advantage.
We’re not just looking for strong technical skills – we’re interested in people that can nurture relationships, both internal and external, and are committed to intimately understanding our clients’ needs. If you’re looking to become part of elite group of data engineers and data scientists where you’ll make a measurable difference across some of the most prestigious businesses around, this role is for you.
What we offer:
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It’s yours to build. Apply now.
Please note; Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness.
Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London
✨Tip Number 1
Network with professionals in the Financial Services and Forensic Data Analytics sectors. Attend industry events, webinars, or workshops to connect with potential colleagues and clients. Building these relationships can give you insights into the company culture and expectations.
✨Tip Number 2
Stay updated on the latest trends in AI and data analytics, particularly as they relate to financial crime and compliance. Follow relevant publications, blogs, and thought leaders in the field to demonstrate your knowledge during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've led complex data-driven projects in the past. Highlight your problem-solving skills and ability to manage client relationships, especially with senior stakeholders.
✨Tip Number 4
Familiarise yourself with EY's values and culture. Tailor your conversations to reflect how your personal values align with theirs, showcasing your commitment to building a better working world.
We think you need these skills to ace Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in financial services, data analytics, and leadership roles. Use specific examples that demonstrate your expertise in financial crime, fraud, and compliance.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for the role and the company. Discuss how your background aligns with EY's values and the specific requirements of the position, particularly your experience with AI technologies and data engineering.
Showcase Your Problem-Solving Skills: In your application, provide examples of complex problems you've solved in previous roles, especially those related to financial crime or regulatory compliance. Highlight your analytical skills and how they contributed to successful outcomes.
Demonstrate Leadership Experience: EY is looking for passionate leaders. Include instances where you have led teams or projects, focusing on your ability to inspire others and manage client relationships effectively.
How to prepare for a job interview at EY
✨Showcase Your Industry Knowledge
Make sure to demonstrate your understanding of the Financial Services industry, particularly in areas like financial crime and regulatory compliance. Be prepared to discuss recent trends and challenges in the sector, as this will show your potential employer that you are engaged and informed.
✨Highlight Your Technical Skills
Given the focus on data engineering and AI technologies, be ready to talk about your experience with data analysis, machine learning, and any relevant tools you've used. Providing specific examples of projects where you've successfully implemented these skills can set you apart from other candidates.
✨Emphasise Leadership Experience
As a Senior Manager, you'll need to lead teams and manage client relationships. Share examples of how you've successfully led complex projects, mentored team members, and navigated challenging situations with clients. This will illustrate your capability to handle the responsibilities of the role.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities and decision-making skills. Think of past experiences where you had to resolve conflicts or make critical decisions under pressure, and be ready to discuss these in detail.