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    • Director - AML Data Science and Modeling

    Location Hicksville, New York, United States of America Category Corporate Functions
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    JOB DESCRIPTION

    Position Title

    Director - AML Data Science and Modeling

    Location

    Hicksville, NY 11801

    Job Summary

    Pay Range: Local Minimum Wage - $0.00 - $0.00

    Job Responsibilities:

    JOB SUMMARY

    The Director of AML Data Science and Modeling is responsible for the development, implementation, and ongoing optimization of a cutting-edge financial monitoring system. This role leads the advancement of BSA/AML and Sanctions models, including the enhancement of transaction monitoring processes to detect financial crime. Key responsibilities include refining segmentation, scenarios, and thresholds to improve effectiveness, and overseeing the KYC system to ensure regulatory compliance.

    The Director also drives continuous improvement in transaction monitoring, sanctions screening, name screening, and customer risk rating by leveraging data-driven models. This includes collaborating closely with both internal teams and external vendors to ensure alignment and efficiency. Additionally, the Director is accountable for meeting all regulatory reporting requirements and ensuring that all operations adhere to applicable banking regulations.

    JOB RESPONSIBILITIES

    • Manages and maintains second-line of defense models, ensuring they meet regulatory standards and effectively identify risks. Oversees the integrity of data and system controls, ensuring continuous monitoring and optimization.
    • Acts as the main point of contact between AML teams and IT, ensuring alignment on technical requirements and system enhancements. Collaborates on system integration, troubleshooting, and data management for AML and sanctions tools.
    • Provides data and analytics support to the BSA/AML & Sanctions Risk Management teams, ensuring they have the necessary tools and insights to manage risk effectively and make data-driven decisions.
    • Serves as the key point of contact between AML/Sanctions teams and Enterprise Risk Management, ensuring effective communication and collaboration on enterprise-wide risk assessments and mitigation strategies.
    • Responsible for talent management functions including: employment, performance evaluations, staff development/training, disciplinary actions, succession planning and ensuring all staff comply with compliance requirements.

    ADDITIONAL ACCOUNTABILITIES

    • Performs special projects, and additional duties and responsibilities as required.
    • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings.  Accountable to maintain compliance with applicable federal, state and local laws and regulations.

    Required Qualifications:

    • Education level required: Undergraduate Degree (4 years or equivalent)  Business, Finance or related field.
    • Minimum experience required: 12+ Years progressive experience in a senior data science, AML infrastructure or modeling position in a large bank or financial services institution.
    • Minimum of 7+ years of management experience and/or experience leading and directing staff.

    Preferred Qualifications:

    • Education level preferred: Master's Degree (or Postgraduate equivalent) Business, Finance or related field.

    Job Competencies:

    • Comprehensive knowledge of BSA/AML and OFAC related regulations. 
    • Strong leadership, management and public speaking skills.
    • Strong analytics and investigative skills.
    • Experience with ACTIMIZE preferred.
    • Ability to work in high-pressure/high-stake environments.
    • Ability to make independent judgements and work under minimal supervision.
    • Intermittent travel may be required.
    • Physical demands (ADA): No unusual physical exertion is involved.

    pay range: 165-280K

    Flagstar is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, or national origin. 

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