Senior Consultant, Anti-Money Laundering Analytics

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

Engagements include a wide variety of solutions, tailored to the client's need, and are often performed in conjunction with industry and subject matter experts from throughout Deloitte. Responsibilities typical of an analytics Senior Consultant, Anti-Money Laundering Analytics on one of these projects may include:

• Work with a team of data analytics experts, software engineers, and business analysts to develop data-driven solutions using traditional and emerging technologies to solve complex regulatory risk and AML challenges.
• Use an intelligence led approach to transaction monitoring and challenge the existing TM landscape.
• Enhance global transaction monitoring functions to meet regulatory regulations using model development, model validations, and model tuning and calibration.
• Utilize platforms such as Actimize, Oracle FCCM, LexisNexis Fircosoft, Bridger, SAS Vija, SAI/Norkom.
• Manage data analytics and solution development engagements in partnership with internal and external AML and financial crimes compliance, audit, IT, and business teams.
• Supervise day to day operations, set up processes for delivery including technical/functional documentation, scope of work, resource planning, design, implementation, and quality assurance.
• Facilitate technical skill-building within the team including training, research, and innovation.
• Use advanced Machine Learning deployment (XGBoost, Ensemble) and GenAI approaches.
• Translate analytical solution into actionable insights & recommendations for technical & non-technical audience in a clear, concise, and persuasive way.
• Closely liaise with internal and client stakeholders to provide regular updates on project delivery covering aspects such as quality, timelines, risk, and issue management.
• Track internal metrics such as utilization, Budget Vs Spend, resource allocation and ensure metrics are within targets.
• Participate in the business development and marketplace eminence activities with new or existing clients.
• Provide input with respect to practice technology initiatives and investments to help strategic roadmap planning.

The Team

Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes, and investigations. We help protect brands from financial crime and other corporate misconduct, and empower government organizations with advanced tradecraft and technology to combat emerging and evolving threats.

Qualifications

Minimum Qualifications

• Bachelor's degree from accredited university.
• 4+ years of hands-on technical experience mining and analyzing electronic transactional data with a strong working knowledge of a relevant programming languages such as SQL, Oracle, Python.
• Demonstrated ability to communicate effectively to all levels of client and engagement management.
• Capable of balancing multiple projects with strong ability to properly delegate and meet deadlines.
• Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience.
• Proficiency Power BI, Tableau, Machine learning and model development.
• Experience with a preferred platform such as Actimize, Oracle, LexisNexis Fircosoft, SAS Viya.
• Commitment to personal and professional growth, including the development of peers and staff.
• Sense of responsibility to self, team, and client.
• Outstanding integrity, initiative, creativity, and passion.
• Limited immigration sponsorship may be available. Ability to travel up to 25%, based on the work you do and the clients and industries/sectors you serve.

Preferred:

In Addition To The Above Qualifications,

• Educational background in one or more of these areas: A dual major/minor combination including technology (e.g. Computer Science or Management Information Systems) and business (e.g., Accounting, Business Administration, Economics, Mathematics, Finance, Management, Statistics).
• Managing teams and engagements.

Additional competencies strengthening candidacy:

• Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
• Experience with developing business analysis, proposals, workshops in Microsoft PowerPoint.
• Experience with wire transfers, trade finance, broker/dealer trades.
• Data governance, data lineage, data testing.
• Experience working AML technology platforms.
• Experience with data analytics tools and engineering skills using Informatica, Kafka, Snowflake, Hadoop.
• Experience with techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning.

Key skills/competency

• AML
• Data Analytics
• Transaction Monitoring
• Machine Learning
• Regulatory Compliance
• SQL
• Python
• KYC
• Risk Management
• Model Development