Assurance - Financial Services - Forensic Data Analyst - Senior

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology 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. About the team:
As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more.

This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities:
Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations Communicate with clients to scope projects and gather requirements Highlight and explain the outputs of our analytics to clients in the context of their business Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery Handle a large amount of structured and unstructured data from a variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI.

Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have:
Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work independently, manage work products and mentor junior team members Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you’ll also have:
Domain knowledge of Financial Crime,…