At a Glance
- Tasks: Lead complex data and AI projects, tackling financial crime and compliance challenges.
- Company: Join EY, a global leader in financial services with a focus on innovation.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse, inclusive culture.
- Other info: Be part of a dynamic team that values your unique voice and perspective.
- Why this job: Make a real impact in the world of finance while developing your career.
- Qualifications: Extensive experience in financial services and data engineering is essential.
The predicted salary is between 70000 - 90000 £ 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.
- Strong background in various data engineering and data science and AI tooling.
Skills and attributes for success:
- Client Management and Business Development: 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.
- Stay informed of the client's industry, and recognise key performance drivers, business trends, and emerging technical/industry developments.
- 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.
Engagement Delivery and People Management: 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.
What we look for:
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 Studio+ Nederland
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. With a strong focus on continuous learning and professional development, we offer unique opportunities for growth in the rapidly evolving fields of data and AI. Located in London, our team is at the forefront of tackling complex financial challenges, providing a meaningful and rewarding experience for those looking to make a significant impact in the Financial Services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the Financial Services industry. Attend events, join online forums, and don’t be shy about reaching out to potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to data analytics and AI. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by researching EY’s values and recent projects. Tailor your responses to highlight how your experience aligns with their goals, especially in financial crime and compliance. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at EY. So, get that application in and let’s make it happen!
We think you need these skills to ace Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience in financial services, data analytics, and any relevant AI technologies. We want to see how your unique skills align with what we're looking for!
Showcase Your Achievements:Don’t just list your responsibilities; share your successes! Use specific examples of how you've led teams or projects that resulted in significant outcomes. This helps us understand the impact you've made in previous roles.
Be Authentic:Let your personality shine through in your application. We value diverse voices and perspectives, so don’t be afraid to express your passion for data and AI. Show us why you’re excited about this opportunity!
Apply Through Our Website:For the best chance of success, make sure to submit your application through our official website. This ensures it gets to the right people and helps us keep track of all applications efficiently. We can’t wait to hear from you!
How to prepare for a job interview at EY Studio+ Nederland
✨Know Your Stuff
Make sure you brush up on your knowledge of financial crime, fraud, and regulatory compliance. Understand the latest trends in data analytics and AI technologies, as these are crucial for the role. Being able to discuss recent developments in the industry will show that you're not just knowledgeable but also genuinely interested.
✨Showcase Your Leadership Skills
Since this role involves leading teams and managing client relationships, be prepared to share examples of how you've successfully led projects in the past. Highlight your experience in mentoring others and driving business development initiatives, as this will demonstrate your capability to inspire and manage effectively.
✨Engage with Real Scenarios
Prepare for situational questions by thinking about complex assignments you've handled before. Be ready to discuss how you managed risks, resolved issues, and ensured project objectives were met. This will help you illustrate your problem-solving skills and ability to deliver under pressure.
✨Build Rapport
Remember, it's not just about technical skills; it's also about building relationships. Practice how you'll connect with interviewers by showing genuine interest in their work and the company culture. Ask insightful questions about their current projects or challenges, which will demonstrate your enthusiasm and fit for the team.