Deloitte - Forensic Analytics Analyst

Position Summary

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to trust. You'll develop data analysis plans, create analytics strategies, assess organizational models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

• Join a fast-growing practice within Deloitte Risk & Financial Advisory, focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, clients, 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 and transactional challenges, supporting investigations such as fraud, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management

• Apply advanced analytics, AI, 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

• Apply advanced machine learning techniques (such as XGBoost, Ensemble methods, and GenAI) and industry-standard tools to extract, preserve, and analyze data from various sources

• 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

• Bachelor's Degree completed by Spring/Summer 2026 in these or related areas of study:

• Technology: Data Analytics, Computer Science, Management Information Systems

• Business: Econometrics, Quantitative Finance, Finance, 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 the time of employment
• Must live within a commutable distance to your assigned office (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