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Job Details


Deloitte

Anti-Money Laundering - Analytics| Manager (27700)

Branch Manager

Manager

Yearly

No

Washington, Washington DC, United States

Position Summary

Do you have a passion for combating criminal enterprises around the world? Do you want to put your skills towards investigating and combating money laundering, terrorist financing, and sanctions violations? Anti-Money Laundering (AML) Analytics is one of the fast-growth practices within Deloitte that centers around several of the hottest areas in business today - analytics, machine learning, and robotic process automation - and the specialized skills that make careers in these areas both fascinating and in high-demand. Our Analytics team makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to client issues in the AML and Economic Trade Sanctions domain. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geospatial analysis.

As an Anti-Money Laundering Analytics Manager you will have the opportunity to help our clients mitigate the risks related to money laundering, terrorist financing, and sanctions violations, as well as to improve their ability to meet regulatory requirements and expectations, and align with industry practices for sound programs and controls. You will build your professional skills through a variety of project experiences by assisting our clients to understand the complexities of issues they face, and by implementing solutions to help them remediate identified issues.

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 manager on one of these projects may include:

Work you'll do

  • Lead 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
  • 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
  • Promote thought leadership by working with Data Science/Data Analytics/Data engineering experts to drive best in class solution design
  • Facilitate technical skill-building within the team including training, research, and innovation
  • Mentor team members and play an active role in their career development process
  • 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

Against an increasingly complex regulatory landscape, we help clients mitigate risk and achieve compliance. We do this by leveraging our deep knowledge of industry regulations and proven methodologies to design, assess, and transform their processes. We work with our clients to effectively navigate a regulatory investigation or inquiry, achieving the overall risk profile they need to power their organization forward. Learn more about Deloitte Advisory's Regulatory and Compliance practice.

Qualifications

Minimum Qualifications
  • Bachelor's degree from accredited university
  • 7+ 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, R, and/or 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 analytics
  • Proficiency with Microsoft Excel, Word, and PowerPoint
  • Ability to travel up to 50% (While up to 50% travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
  • 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
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

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 cryptocurrencies, digital identities, client portals, and customer 360
  • Experience working with any of the following AML technology platforms: Mantas, Actimize, SAS, Verafin, Quantexa
  • Experience with data analytics tools including: SAS, Neo4j
  • Experience with techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning
  • Experience with any of the following:
    • Java, JavaScript, JQuery, Ajax, C#, C++, VBA, VB.Net, ASP .NET, HTML, XML, Python, R, Scala, Spark, etc.
    • Cloud analytics services (e.g., AWS Sagemaker, Google Cloud Datalab)
    • Microsoft SQL Server Integration Services, Microsoft SQL Server Reporting Services
    • Informatica, Ab Initio
    • Big Data Tools
    • Experience in web application design, user acceptance testing and rapid/agile software development life cycle
    • Experience in a professional services firm
    • Limited Sponsorship may be available