Data Analyst

ADP is hiring a Sr. Compliance Delivery Analyst.

As a Sr. Compliance Delivery Analyst, you will be responsible for supporting the Global Compliance organization in assessing the efficacy and efficiency of the Financial Crimes Risk Management program.

Reporting under the Global Financial Crimes Compliance (FCC) organization you will assess adherence to compliance requirements including, but not limited to, procedure documentation, training associates, process testing and validation, system query and reporting, and support of internal and external audits.

What you'll do:

Here's what you can expect on a typical day:

• Leverage data analytics to identify suspicious activity, analyze trends, and provide actionable insights to support compliance efforts.
• Works with business units to develop/revise, review, and implement policies, procedures, and controls that support regulatory, legal, and risk mitigation changes. Oversees and identifies all pertinent reporting requirements.
• Identifies and drives compliance/control requirements and recommendations as new products are acquired or developed.
• Provides compliance integration expertise for acquisition and /or new products.
• Support the enterprise risk management activities for the Employee Financial Solutions division.
• Perform assessments/audits, on an annual or as-needed basis.
• Liaison with Corporate Privacy, GPT, GSO, and Legal teams on implementing corporate-wide initiatives.
• Provide training to associates at time of onboarding and/or program changes.

Data Analysis and Reporting:

• Develop and maintain data-driven reports and dashboards to monitor key risk indicators and identify potential red flags.
• Conduct in-depth analysis of large datasets to uncover patterns, anomalies, and trends related to money laundering activities.

Model Development:

• Utilizing Oracle-based software to provide ongoing calibration and configuration assessments of existing FCRM operations
• Develop and refine predictive models using statistical techniques and machine learning algorithms to enhance the detection of suspicious activity.

Data Governance:

• Ensure data quality, integrity, and compliance with regulatory requirements.
• Implement data governance policies and procedures to maintain data accuracy and security.

Process Improvement:

• Identify opportunities to streamline and optimize the operational workflows and processes.
• Develop and implement data-driven solutions to improve operational efficiency and effectiveness.

TO SUCCEED IN THIS ROLE:

• 5 years of experience in relevant data analysis skills gained and developed in the same or similar role.
• Strong attention to detail and accuracy.
• Ability to work independently and as part of a team.
• Knowledge of statistical modeling techniques and machine learning algorithms.
• Excellent analytical and problem-solving skills.
• Strong proficiency in SQL, Python, or other programming languages.
• Experience with data visualization tools (e.g., Tableau, Power BI).

• Data analysis experience with a focus on the payments industry desirable.
• Bachelor's degree in a quantitative field such as data analytics, statistics, mathematics, computer science, economics, or equivalent. (preferred)
• Experience with Oracle's Compliance Studio product for Anti-Money Laundering.
• Certifications including, Internal audit certification, certified public accountant, certified anti-money laundering specialist.