At a Glance
- Tasks: Lead teams in tackling complex financial crime and compliance challenges using data and AI.
- Company: Join EY, a global leader in financial services and forensic data analytics.
- Benefits: Enjoy continuous learning, flexible work options, and a diverse, inclusive culture.
- Other info: Be part of an elite team driving innovation in data and AI solutions.
- Why this job: Make a real impact in the financial sector while developing your leadership skills.
- Qualifications: Experience in financial services, data engineering, and strong problem-solving abilities required.
The predicted salary is between 80000 - 100000 £ per year.
We will expect you to have experience across all four areas of our leadership expectation: clients, business, team and personal. This will enable you to lead our teams, manage our clients and complex assignments, grow our business in a commercial way which adheres to our values, and inspire others through your own behaviours. We’re interested in passionate leaders, with the intellectual curiosity to actively pursue new knowledge in the rapidly changing world of data and AI. Naturally you’ll need a strong background in the various data engineering, data science, and AI tooling to assist in achieving our goals.
Responsibilities
- 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 £1 m 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 across banking, capital markets, insurance and wealth & asset management sectors.
- Lead complex data‑and‑AI‑led assignments, review the work prepared by the engagement teams to ensure it meets EY’s quality standards and the client’s expectations.
- Monitor engagement progress to manage and mitigate risks and resolve any issues that may arise during the project, ensuring successful completion of objectives within timescales and budget.
- Directly manage 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 realise measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients.
Qualifications
- Financial services industry experience, focused on financial crime, forensics, fraud, legal and regulatory compliance.
- End‑to‑end data engineering and data‑science lifecycle experience, including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and the latest Generation 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.
Preferred Experience
- Previous Big 4 or large consulting firm experience is an advantage.
What we look for
We’re not just looking for strong technical skills – we’re interested in people who can nurture relationships, both internal and external, and are committed to intimately understanding our clients’ needs. If you’re looking to become part of an 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.
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. And we’re counting on your unique voice and perspective to help EY become even better, too. 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 offers is a growing global, AI‑ and data‑focused group within the Forensic & Integrity Services department. We work across all lines of businesses in the financial‑services industry with a specific focus on financial crime. This role will combine extensive financial‑services industry experience, analytical skills and deep understanding of data and AI capabilities to help our clients in dealing with their complex issues. Whether it is designing, implementing or ideating technology solutions, we need the very best people to join us and strengthen our team to achieve our ambitious targets.
Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London employer: Ernst & Young
At EY, we pride ourselves on being an exceptional employer that fosters a culture of continuous learning and transformative leadership. Our London office offers a dynamic environment where passionate leaders can thrive, supported by cutting-edge technologies and a diverse, inclusive culture that empowers every employee to make a meaningful impact. With ample opportunities for professional growth and the chance to work on high-profile projects in the financial services sector, joining our Forensic Data Analytics team means becoming part of a collaborative group dedicated to tackling complex challenges and driving innovation.
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 and data analytics space. Attend industry events, join relevant 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
Showcase your expertise! When you’re chatting with potential employers or networking contacts, make sure to highlight your experience in data engineering and AI. Share specific examples of how you've tackled complex problems in the past. This will help you stand out as a passionate leader who’s ready to take on challenges.
✨Tip Number 3
Prepare for interviews by doing your homework! Research the company’s recent projects, their approach to financial crime, and any new technologies they’re using. This will not only impress your interviewers but also show that you’re genuinely interested in contributing to their goals.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed. So, get your application in and let’s make some magic happen together!
We think you need these skills to ace Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London
Some tips for your application 🫡
Show Your Passion:Let your enthusiasm for the role shine through in your application. We want to see that you’re not just ticking boxes but genuinely excited about leading teams and tackling complex data challenges.
Tailor Your Experience:Make sure to highlight your relevant experience in financial services, especially around financial crime and data analytics. We’re looking for specific examples that demonstrate your problem-solving skills and ability to manage client relationships.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to see your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with StudySmarter.
How to prepare for a job interview at Ernst & Young
✨Know Your Stuff
Make sure you brush up on your knowledge of financial crime, forensics, and the latest AI technologies. Be ready to discuss how your experience aligns with the job requirements, especially in data engineering and data science.
✨Showcase Your Leadership Skills
Prepare examples that demonstrate your ability to lead teams and manage complex assignments. Think about times when you've inspired others or navigated challenging situations with clients, especially C-suite executives.
✨Understand the Industry
Stay informed about current trends and key performance drivers in the financial services sector. This will help you engage in meaningful conversations during the interview and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your curiosity about the company and its goals. This not only shows your interest but also helps you gauge if the company culture aligns with your values and career aspirations.