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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.

Recruiting for this role will end in December 2025.

Work You'll Do

As a Forensic Analytics Analyst , you will:

• 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

Regardless of type of work, your work may require:

• 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

The T eam

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

• 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

• Must be at least 18 years of age at 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

Preferred Qualifications

• 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $85,000.

Information for applicants with a need for Accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

As used in this posting, "Deloitte" means Deloitte Transactions and Business Analytics LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Recruiting tips

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

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 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.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

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.