EY is seeking a senior-level Forensic Data Analytics professional to support high-profile investigative projects in financial services. The ideal candidate will have strong technical skills in data analysis, programming, and forensic investigation techniques, with the ability to develop advanced analytics solutions for detecting financial risks and misconduct.
Primary responsibilities include working with financial services clients to scope and deliver end-to-end data analytics projects, performing complex data extraction and analysis using technologies like Python and SQL, developing algorithms to detect fraud and financial crime, and supervising junior team members through comprehensive investigative work.
Required experience includes a strong academic background in STEM disciplines, demonstrable proficiency in SQL, Python, data visualization tools, and advanced analytical techniques. Candidates must possess critical thinking skills, the ability to communicate complex analytical concepts, and experience with data engineering and data science methodologies.
EY offers a competitive compensation package with opportunities for professional development, flexible working arrangements, coaching from engaging colleagues, and the chance to work on impactful forensic investigation projects that contribute to building a better working world.