- Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you’ll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
- Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
- Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
- Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
- Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
- Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
- Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
- Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
- Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
- Strong verbal and written communication skills for effective client and team interactions
- Ability to work independently and manage multiple responsibilities in a fast-paced environment
- Problem-solving and critical thinking skills to drive innovation and operational improvements
- Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
- Quick to learn and apply new concepts, frameworks, and emerging technologies
- Proactive in managing personal and professional growth and expanding consulting skills
- Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
- Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor’s degree or higher in one of the following majors or a related/equivalent program:
- Technology: Data Analytics, Computer Science, Management Information Systems
- Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
- Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
- Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
- Candidates must be at least 18 years of age at time of employment
- Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
- Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
- Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
- Microsoft SQL Server, Oracle
- Predictive Analytics/Data Mining: (e.g. Python)
- Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
- Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
- Reporting Tools (e.g. Business Objects, Reporting Services)
- Machine Learning / GenAI
- Cloud Computing (e.g. AWS, Azure, etc.)
- Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.