Senior Consultant - Forensic Analytics Anti-Mon...
@ Deloitte

Philadelphia, PA
$150,000
On Site
Full Time
Posted 22 hours ago

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About Deloitte Regulatory, Risk & Forensic

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organizations. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work You'll Do

As a Senior Consultant - Forensic Analytics Anti-Money Laundering, you will:

  • Work with data analytics experts, software engineers, and analysts to develop data-driven solutions.
  • Utilize an intelligence-led transaction monitoring approach to challenge existing landscapes.
  • Enhance global transaction monitoring using model development, validation, tuning, and calibration.
  • Employ platforms such as Actimize, Oracle FCCM, LexisNexis Fircosoft, Bridger, SAS Viya, and SAI/Norkom.
  • Manage analytics and solution development engagements with AML and financial crimes teams.
  • Supervise daily operations, including documentation, resource planning, design, and quality assurance.
  • Facilitate technical skill-building through training and research initiatives.
  • Deploy advanced Machine Learning techniques (XGBoost, Ensemble) and GenAI approaches.
  • Translate analytical solutions into actionable insights for technical and non-technical audiences.
  • Liaise with internal and client stakeholders to update on project quality, timelines, and risk management.
  • Track internal metrics and participate in business development activities.
  • Contribute to practice technology initiatives and strategic roadmap planning.

The Team

Our Forensic, Discovery, & Financial Crime group supports anti-money laundering, investigations, and business disputes while empowering government organizations to counter emerging threats.

Qualifications

Minimum Qualifications:

  • Bachelor's degree from an accredited university.
  • 4+ years of technical experience analyzing electronic transactional data with proficiency in SQL, Oracle, or Python.
  • Proven communication skills across client and engagement management levels.
  • Experience in AML, KYC, Transaction Monitoring, and sanctions data analytics.
  • Knowledge of Power BI, Tableau, machine learning, and model development.
  • Familiarity with platforms such as Actimize, Oracle, LexisNexis Fircosoft, and SAS Viya.
  • Commitment to personal and professional growth with leadership in team development.

Preferred:

  • Complementary educational background in technology and business.
  • Experience managing teams and engagements.
  • Exposure to transaction monitoring, risk rating models, and data governance.
  • Proficiency with data analytics tools like Informatica, Kafka, Snowflake, and Hadoop.
  • Understanding of advanced techniques including regression, cluster analysis, neural networks and various machine learning algorithms.

Additional Information

Limited immigration sponsorship may be available. Ability to travel up to 25% is expected. For accommodation needs, please visit Deloitte Assistance for Disabled Applicants.

Key skills/competency

  • AML
  • Data Analytics
  • Machine Learning
  • SQL
  • Python
  • Power BI
  • Tableau
  • Actimize
  • Risk Management
  • Forensic Analysis

How to Get Hired at Deloitte

🎯 Tips for Getting Hired

  • Research Deloitte's culture: Study their mission, values, and recent news.
  • Customize your resume: Highlight AML analytics and technical skills.
  • Showcase relevant projects: Detail experience with data analytics tools.
  • Prepare for interviews: Practice scenario-based and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review AML algorithms and transaction monitoring techniques
Practice SQL, Python, and data modeling exercises
Study Actimize and other AML platforms
Brush up on machine learning basics

Behavioral Questions

Describe teamwork in high-pressure projects
Explain client communication during complex deployments
Discuss handling tight deadlines effectively
Share examples of proactive problem solving

Frequently Asked Questions