About The Position

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. 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 will be right at the heart of that goal. It is a role with far-reaching implications, so you will be working with stakeholders across industries with some of the most innovative tools available. The opportunity Our Forensic Data Analytics team is working with industry leading anti-fraud and forensic data analytics technologies to develop innovative recommendations for 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.

Requirements

  • A bachelor’s degree in accounting, analytics, finance, business, statistics, economics or related field
  • 2+ years of relevant work experience
  • Achieved, or be working towards a professional designation, such as Certified Analytics Professional (CAP), CFE, or CFCE
  • 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
  • Excellent communication, organizational and prioritization skills
  • Ability to solve data problems independently and be a self-starter
  • Familiarity of Hadoop-based technologies
  • The ability and willingness to travel and work in excess of standard hours when necessary
  • Access to reliable transportation to/from the EY office and client sites. A driver’s license is strongly recommended as ride share and public transportation options may not be available in all locations

Nice To Haves

  • A strong working knowledge of data visualization tools such as PowerBI

Responsibilities

  • 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

Benefits

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
  • The base salary range for this job in all geographic locations in the US is $106,900 to $176,500.
  • The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600.
  • Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
  • In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service