At a Glance
- Tasks: Lead complex data and AI projects to combat financial crime and fraud.
- Company: Join EY, a global leader in financial services with an inclusive culture.
- Benefits: Continuous learning, flexible work options, and transformative leadership opportunities.
- Other info: Be part of a diverse team that values your unique voice and perspective.
- Why this job: Make a real impact in the fight against financial crime using cutting-edge technology.
- Qualifications: Extensive experience in financial services and strong data engineering skills required.
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 of Data and AI capabilities to help our clients in dealing with their complex issues.
Key Responsibilities:
- Develop/maintain productive relationships with client management including C Suite executives.
- Develop new business development initiatives, go to market campaigns, sales sprints, lead end‑to‑end bid processes and engagement delivery 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 across Banking and Capital Markets, Insurance and Wealth and Asset Management sectors.
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 resolve any issues that may arise during the project.
- Ensure successful completion of project 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 other practice‑wide needs to create a positive work and learning culture.
- Define best practices, processes and standards to ensure realization of measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients.
Qualifications:
- 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 generative AI and agentic AI technologies.
- Proven experience leading large and complex data and AI‑driven programmes and innovating reusable tech solutions through problem solving.
- Experience developing and mentoring data engineering and data science teams.
Preferred Experience:
- Previous Big 4 and large consulting firms experience is an advantage.
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 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.
Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London employer: EY UK
At EY, we pride ourselves on fostering a dynamic and inclusive work culture that champions continuous learning and personal growth. As a Senior Manager in our Forensic Data Analytics team in London, you will have the opportunity to lead innovative projects at the intersection of data and AI, while collaborating with top-tier clients and industry experts. With a commitment to your professional development and a supportive environment that values diverse perspectives, EY is the ideal place for those looking to make a meaningful 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 sector. Attend industry events, webinars, or even local meetups. The more you engage, the better your chances of landing that dream job at EY.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those related to financial crime and compliance. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on articulating your experience in leading complex data-driven projects and how you've tackled challenges in the past.
✨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 EY team and contributing to their mission.
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 reflects the specific skills and experiences that align with the role. Highlight your expertise in financial services, data analytics, and any relevant AI technologies to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality! Share your passion for forensic data analytics and how your unique voice can contribute to our team at EY. Don’t forget to mention any relevant achievements!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex issues in the financial services sector. We love seeing candidates who can think critically and creatively about challenges in data and AI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at EY!
How to prepare for a job interview at EY UK
✨Know Your Stuff
Make sure you brush up on your knowledge of financial crime, fraud, and regulatory compliance. Familiarise yourself with the latest trends in data analytics and AI technologies, as these are crucial for the role. Being able to discuss recent developments or case studies will show your passion and expertise.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing complex projects. Think about times when you've successfully navigated challenges or inspired others. This is key, as the role requires strong leadership across various client engagements.
✨Build Rapport with Clients
Since client management is a big part of this role, practice how you would approach building relationships with C-suite executives. Be ready to discuss how you’ve developed productive relationships in the past and how you can bring that to EY.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the industry and the specific challenges EY faces. This not only shows your interest but also your analytical thinking. Consider asking about their approach to emerging technologies or how they handle complex client issues.