Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London

ICAEW
Greater London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analytics(For Audit) Senior Manager or Manager – Flexible on Location

Strategic Remediation and Control Office, Sanctions/Data Governance Quality Assurance Director

Data Architect

Carbon Data Analyst

Cyber Data Analyst

Data Quality Analyst

Assurance - Financial Services - Forensic Data Analytics - Senior Manager - London

Employer Location London, GB Salary Competitive Closing date 17 Sep 2025 View more categoriesView less categories Sector Salary band Hours Where will they be working You need to or to save a job.

Job Details

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-end 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 is a growing global, AI and data-focused group within the Forensic & Integrity 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. 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.

Your key responsibilities

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 '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 and data science and AI tooling to assist in achieving our goals.

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 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 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.

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. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. Read more about our commitment to diversity& inclusiveness here . We ask because it matters!

Company

At EY, our purpose is building a better working world. The insights and services we provide help to create long-term value for clients, people and society, and to build trust in the capital markets.

Company info Website Location 1 More London Place
London
London
SE1 2AF
United Kingdom

Share this job

You need to or to save a job.

Sign in to create job alerts

Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.