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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.
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 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
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
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 50%, on average, based on the work you do and the clients and industries/sectors you serve
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)
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
#IND:RFAEstimated Salary: $20 to $28 per hour based on qualifications.
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.
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 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
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
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 50%, on average, based on the work you do and the clients and industries/sectors you serve
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)
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
#IND:RFAEstimated Salary: $20 to $28 per hour based on qualifications.
