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BDOposted 6 months ago
Full-time • Mid Level
Austin, TX
Professional, Scientific, and Technical Services
Resume Match Score

About the position

The Senior Associate, AML Systems Engineer is responsible for conducting data analysis and testing related to anti-money laundering (AML) compliance systems within the financial services industry. This role involves validating transaction monitoring and economic sanctions screening systems, ensuring compliance with various regulations such as the Bank Secrecy Act (BSA) and the USA PATRIOT Act. The Senior Associate will leverage their expertise in data analytics and IT to assess system performance and data integrity, while also interacting with clients to provide insights and recommendations for compliance improvements.

Responsibilities

  • Perform data analytics and apply data science/statistics theory in reviewing, testing, and validating system design and performance for AML compliance systems.
  • Conduct analysis, examination, review, assessment, and testing related to AML, BSA, USA PATRIOT Act, OFAC, and KYC compliance.
  • Interpret laws and regulations, making recommendations for client compliance programs and IT systems.
  • Interact with client personnel and conduct client interviews.
  • Participate in client discussions and meetings to understand needs and assess risks.
  • Create project documentation and deliverables, assisting in drafting reports of findings.
  • Participate in proposal development efforts and assist with implementing industry best practices.
  • Communicate with clients in an organized and knowledgeable manner, delivering clear and accurate documents and requests.
  • Inform leadership of progress and issues related to assigned engagements.

Requirements

  • Bachelor's degree in Data Science, Statistics, Information Systems, Computer Science, or Software Engineering required.
  • Two or more years of experience in data analytics and programming, database administration, model validations, and IT systems development preferred.
  • Experience with SQL scripting required.
  • Proficient with MS Office 365 (Excel, Word, PowerPoint, SharePoint) required.
  • Experience with database management software such as SQL Server Management Studio required.

Nice-to-haves

  • Master's degree in Data Science, Statistics, Computer Science, or Software Engineering preferred.
  • Experience with languages other than SQL (e.g., Java, Visual Basic, HTML, XML, C#, C++, ASP.NET, Python) preferred.
  • Microsoft Certified Data Analyst Associate / Power BI Data Analyst Associate preferred.
  • PMP or PgMP certification preferred.
  • CAMS, JD, or CPA preferred.
  • Experience with data analytics software such as Tableau or Power BI preferred.

Benefits

  • Employee Stock Ownership Plan (ESOP) allowing employees to share in the firm's success.
  • Comprehensive compensation and Total Rewards benefits offerings.
  • Opportunities for advancement and professional development.
  • Flexible work environment.
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