Forensics - Data Analytics - Senior - Multiple Locations
EYAbout the role
Location: New York, Charlotte, Boston, Iselin, Chicago.
With high-profile corporate fraud cases at the forefront of the news, it’s more important than ever for businesses to maintain the authoritative knowledge it takes to investigate and prevent fraud. Preventing and detecting fraud is all about identifying potential risks – using existing trends and emerging technology to accelerate intelligent decision making and build more efficient finance functions. Our clients look to us to make it happen, and as a Forensic Data Analytics Senior, you’ll be right at the heart of that goal. It’s a role with far-reaching implications, so you’ll be working with stakeholders across industries with some of the most innovative tools available.
The opportunity
With significant recent investment, we’re experiencing rapid growth in this area. Our Forensic Data Analytics team is working with industry- leading anti-fraud and forensic data analytics technologies to develop innovative recommendations to some of the most challenging fraud and risk issues around. Since we work with such a diverse portfolio of clients across industries, you can expect to take on a wide range of big data challenges, making this a great place to develop your technical and business knowledge.
Your key responsibilities
It’s no exaggeration to say you’ll never be doing the same task for too long. You’re likely to balance your time between engagement planning with other Data Analytics team members and actively analyzing complex data. It’s all about using your technical skills to creatively assess and resolve our clients’ needs from the front lines. That means thinking differently about the role of data analytics in the support of litigation and fraud investigations, and speaking up with innovative ideas that challenge the status quo.
Skills and attributes for success
- Take responsibility for high quality execution and delivery of specific parts of a Data Analytics engagement
- Develop yourself and others through seeking and offering on-the-job coaching
- Oversee multiple projects ensuring the work meets the client’s needs
- Use technology to continually learn and share your knowledge with other team members
- Nurture relationships with professionals in other service lines and seek opportunities to work together
- Maintain a strong focus on the client and be responsive to their requests
To qualify for the role you must have
- A bachelor’s degree and approximately 2 years of relevant work experience
- A proven record of success in data analysis and data science, and an in-depth knowledge of SQL, and other leading database technologies, statistical analysis packages such as SPSS, SAS or scripting languages such as Python or R
- Ideally, you’ll also have a strong working knowledge of data visualization tools such as PowerBI
- Excellent communication, organizational and prioritization skills
- Ability to solve data problems independently and be a self-starter
- Achieved, or be working towards a professional designation, such as Certified Analytics Professional (CAP), CISA, CISSP, CISM, CFE, CFCE or EnCE
- Familiarity of Hadoop-based technologies
What we look for
We’re interested in people t
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s