Senior Consultant - Anti-Money Laundering (AML) - Analytics

at  Deloitte

Pittsburgh, Pennsylvania, USA - 15222

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Immediate15 Feb, 2022Not Specified18 Nov, 2021N/AWorkshops,Sql Server Integration Services,Python,Aml,Javascript,Information Systems,Powerpoint,Mantas,Sas,R,Ab Initio,C++,Machine Learning,Data Analysis,Model Validation,Business Analysis,Mathematics,Web Application Design,Statistics,Sql,AnalyticsNoNo
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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 Senior Consultant, 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.


Minimum Qualifications

  • Bachelor’s degree from accredited university
  • 3+ 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 experience related to AML, Know-Your-Customer (KYC) and Sanctions data, technology and analytics;
  • 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
  • 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 junior staff
  • Sense of responsibility to self, team and client
  • Outstanding integrity, initiative, creativity, and passion
  • Limited sponsorship available.


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)

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


Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.


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 a senior consultant on one of these projects may include:

  • Create, manage, and utilize high performance relational databases (Microsoft SQL Server 2012 or later, Oracle 11g, Microsoft Access, and other proprietary software)
  • Query and mine large data sets in OLAP environments to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies
  • Design and development of user-defined application modules (form and web-based using Microsoft .Net or Java), perform data quality control, develop database reports and user interfaces, and normalize relational data
  • Develop analysis on business problems and prepare and present complex written and verbal materials (reports, findings and presentations) typically using Microsoft PowerPoint and Microsoft Word
  • Supervise, lead, and train junior associates in the activities
  • Provide input with respect to practice technology initiatives and investments


Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Information Technology




Pittsburgh, PA, USA