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The Anti-Money Laundering (AML) Supervisor, also referred to as an AML Sr. Investigator II, supervises various AML processes, which might include suspicious activity investigations, currency transaction reporting, global sanctions screening, enhanced due diligence or other AML processes.
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Certified Anti-Money Laundering Specialist (CAMS) certification. The associate is also responsible for planning and conducting processes related to anti-money laundering and global sanction activities as well as managing the workflow of the AML analysis.
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Anti-Money Laundering (AML) Analytics is one of the fast-growing practices in Deloitte. 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.
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Supervise day to day operations, set up processes for delivery including technical/functional documentation, scope of work, resource planning, design, implementation, and quality assurance. Closely liaise with internal and client stakeholders to provide regular updates on project delivery covering aspects such as quality, timelines, risk, and issue management.
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The Anti-Money Laundering (AML) Senior Investigator III supervises various AML processes, which might include suspicious activity investigations, currency transaction reporting, global sanctions screening, enhanced due diligence or other AML processes.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Experience with a preferred platform such as Actimize, Oracle, LexisNexis Fircosoft, SAS Viya.
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Utilize platforms such as Actimize, Oracle FCCM, LexisNexis Fircosoft, Bridger, SAS Vija, SAI/Norkom. Using advanced analytics capability and deep technical experience, our subject matter team helps our top clients mitigate the risks associated with financial crime, terrorist financing, sanctions violations, as well as to improve their screening and transaction monitoring systems.
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Experience with data analytics tools and engineering skills using Informatica, Kafka, Snowflake, Hadoop. Our AML Analytics teams makes extensive use of data, statistical and quantitative analysis, rules-based methods, explanatory and predictive modeling to bring insights to client issues in the AML and Economic Trade Sanctions domain.
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Within our Regulatory and Legal Services, our specialized teams center around advanced solutions to test and validate sanction screening and transaction monitoring systems to ensure our financial clients can meet regulatory requirements while improving existing detection systems.
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As a Data Analytics Manager focusing on AML, you will have the opportunity to be on the forefront of helping clients meet the myriad challenges of financial crime issues. Use an intelligence led approach to transaction monitoring and challenge the existing TM landscape.
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Enhance global transaction monitoring functions to meet regulatory regulations using model development, model validations, and model tuning and calibration. Data governance, data lineage, data testing.
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Proficiency Power BI, Tableau, Machine learning and model development. Use advanced Machine Learning deployment (XGBoost, Ensemble) and GenAI approaches. 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.
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Manage data analytics and solution development engagements in partnership with internal and external AML and financial crimes compliance, audit, IT, and business teams. Experience with wire transfers, trade finance, broker/dealer trades.
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Experience with techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning. 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, Oracle, Python.
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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.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
money pay jobs Title: quality engineer Company: Avera in Papillion, Nebraska
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