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BSA/AML Financial Crimes Analytics Utility Data Scientist

Job Location: DC, DC - Washington, GA - Atlanta, NC - Charlotte

Regional Description: Southeast

Job Number: 00496862

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- Job description

 
Join Accenture and help transform leading organizations and communities around the world.  The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose Accenture, and make delivering innovative work part of your extraordinary career.
 
We are seeking an individual with a passion for data science, innovation, risk management and a background in leveraging technology to solve complex business problems.  Accenture is breaking new ground on an innovative Financial Crimes Analytics Utility to support our community of financial services clients collaborate across non-competitive functions, reduce the cost of compliance and develop proactive relationships with regulators.  Our Utility leverages our unique Accenture Insights Platform (deployed in partnership with Amazon-AWS) with an integrated stack of leading big data technology applications providing the horsepower necessary to drive innovation across this market segment. 
 
The Accenture Analytics Utility helps financial services firms focus challenges of increasing profitability, reducing operational complexity, managing regulations and protecting national security.  Accenture draws on its end-to-end transformation capabilities, as well as core strengths in management consulting, technology, analytics and data science to help firms identify new opportunities to create a sustainable competitive advantage.
 
The incumbent will have a natural interest and experience in the analysis of data for patterns of abnormal behavior to support the prevention and detection of risk and financial crimes.  The candidate will also have excellent knowledge of how banks and other financial services firms perform risk management functions leveraging data. Candidates should also be successful in working on client delivery projects and have skills that can be used immediately on client-facing work.
 
Key Skills:
  • Deep technical, data, and analytics skills related to financial services challenges
  • Deep experience with data models and applied statistics
  • Data Lake, data mapping, data integration experience including ETL applicatiokns
  • Deep functional understanding of model development
  • Ability to code in SQL, R, SAS, or other similar language
  • Ability to apply code to develop business intelligence reporting in applications such as Tableau
  • Ability use statistics and mathematics to tune, calibrate and validate models
  • Ability test and debug code used in risk management applications
  • Ability to translate business requirements into code for intelligence generation
  • Ability to replicate models in SQL or R
  • Experience with big data applications and cloud based infrastructure
  • Skills developing code to identify deviations in large data sets
  • Ability to test and proactively identify problems with software
  • Knowledge of regulatory obligations associated with independent model risk management
  • Ability to interact with senior management teams and understand key requirements
  • Ability to transform requirements into business intelligence (BI) reporting
  • Experience with visual analytics technologies and BI tools
  • Knowledge of institutional core banking platforms and data models
Basic Qualifications
  • Seven (5) years of experience in BSA/AML analytics and related technology in the financial services space
  • Bachelor’s degree in related field
Preferred Experience
  • Prior banking BSA/AML operational experience in AML Data Management Analytics is desired and/or prior consulting services experience deploying analytic frameworks/applications for financial institutions; PhD in data science preferred but not required
 

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