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Financial Crime Model Analytics & Technology Officer
Financial Crime Model Analytics & Technology OfficerShermen Bank International • Washington, DC, US
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Financial Crime Model Analytics & Technology Officer

Financial Crime Model Analytics & Technology Officer

Shermen Bank International • Washington, DC, US
30+ days ago
Job type
  • Full-time
Job description

Job Description: Financial Crime Model Analytics & Technology Officer

Company: Shermen Bank International (In Formation)

Location: Washington, D.C.

Reports to: Chief BSA/AML Officer

Client Focus: Embassy, Consulate, and Foreign Mission Diplomatic Community

About Us

We are a specialized Edge Act Corporation, chartered by the Federal Reserve, dedicated to providing premier international banking and financial services. Based in Washington D.C., our primary focus is serving as the trusted financial partner to the diplomatic community, including embassies, consulates, foreign missions, and their affiliated organizations in the United States. We operate in a high-compliance, high-touch environment and are committed to the highest standards of regulatory excellence and client service.

Position Summary

The Financial Crime Model Analytics & Technology Officer will be responsible for the AML & Sanctions Department's technology models and other Compliance systems. SBI will use a vendor platform for AML transaction monitoring, fraud detection, customer risk scoring, KYC screening, and payments screening. This role reports to the Chief BSA/AML Officer/Head of Anti-Financial Crimes.

Core Responsibilities

This role covers the following responsibilities:

  • Periodically conduct configuration, segmentation, threshold tuning and optimization of the AML & Sanctions Department's models/platform and other technology systems

  • Perform ongoing testing of AML & Sanctions Departments models/platform and other Compliance systems

  • Conduct coverage assessments with the BSA/AML & Sanctions team

  • Conduct data mapping, data lineage, and data quality assessments

  • Assist in the coordination of the BSA/AML & Sanctions Risk Assessment and the Enterprise-Wide Risk Assessment process

  • Create business requirements documents ("BRD")

  • Create and update documentation for the aforementioned activities that meets regulatory standards and expectations

  • Build out data analytics dashboards and produce metrics reporting to senior management on an ongoing basis

  • Act as primary point of contact for AML & Sanctions and Compliance in technology and data initiatives

  • Work closely with the Technology Department on matters related to AML & Sanctions and Compliance

  • Coordinate with regulators, auditors and vendors regarding matters related to Financial Crime Model Analytics and Technology

  • Support the AML & Sanctions Department and the Compliance Department in various areas as needed, including daily responsibilities and projects related to client onboarding, AML transaction monitoring, sanctions, fraud, and regulatory compliance

Required Skills & Qualifications

We are looking for a versatile candidate who is hands-on and wants to work in a fast-paced, innovative, dynamic, and collaborative environment. Candidates for this role will have the following knowledge and experience:

  • 5+ years Financial Crime model analytics experience covering rule design/configuration/implementation, segmentation, tuning and optimization, and other Compliance technical and data activities

  • Financial Crime model/platform end-to-end testing, including creation and execution of test plans, test scripts, results documentation and defect tracking

  • Data management, data mapping, data lineage, and data quality assessments

  • Working closely with internal Technology partners and external vendors

  • Creating and updating documentation that meets regulatory standards and expectations

  • Strong knowledge of SQL and Python

  • Data Analytics platforms, including Tableau and Power BI

  • Producing metrics reporting for senior management

  • Experience with Financial Crime Compliance vendor platforms

  • Knowledge of customer onboarding, AML transaction monitoring, fraud detection and screening day-to-day activities

  • Working on coverage assessments, BSA/AML & Sanctions risk assessments, and Enterprise-Wide Risk Assessments

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Financial Crime Model Analytics Technology Officer • Washington, DC, US

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