Position Overview:
We are seeking a highly skilled and experienced Senior Manager of Analytics & Insights to lead the Global Anti-Money Laundering (AML) team’s data-driven efforts. In this critical role, you will spearhead the development and implementation of advanced analytics strategies, leveraging data to enhance our AML program’s effectiveness and identify potential risks. As the Senior Manager, you will collaborate with cross-functional teams to drive actionable insights and contribute to the organization’s mission of maintaining a robust AML framework.
Key Responsibilities:
- Lead a team of analytics professionals to develop and execute comprehensive data analytics strategies in support of the Global AML team’s objectives.
- Design and implement advanced analytical models, data mining techniques, and machine learning algorithms to uncover insights from large and complex datasets.
- Collaborate with IT and data teams to ensure data integrity, accessibility, and accuracy, and to streamline data extraction, transformation, and loading (ETL) processes.
- Develop and maintain dashboards, reports, and visualizations to communicate key AML insights and performance metrics to senior management and stakeholders.
- Lead efforts to identify and predict potential AML risks, trends, and patterns through the analysis of transaction data, customer behavior, and other relevant data sources.
- Provide strategic recommendations to enhance the AML program’s efficiency, effectiveness, and risk management based on data-driven insights.
- Partner with compliance and legal teams to ensure alignment with regulatory requirements and industry best practices.
- Stay abreast of emerging trends, technologies, and regulatory changes in the AML and analytics landscape to continuously improve the team’s capabilities.
- Foster a culture of innovation, collaboration, and continuous improvement within the Analytics & Insights team.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Business Analytics, or a related field; advanced degree preferred.
- 8+ years of experience in data analytics, with a focus on financial crime detection and AML.
- Proven experience in leading and managing analytics teams, including hiring, mentoring, and professional development.
- Expertise in statistical analysis, data mining, machine learning, and data visualization tools and techniques.
- Proficiency in programming languages such as SAS, R, or SQL for data analysis and manipulation.
- Strong understanding of AML regulations, compliance, and financial industry best practices.
- Excellent communication and interpersonal skills, with the ability to translate complex data concepts into actionable insights for non-technical stakeholders.
- Strategic thinking, problem-solving abilities, and the capacity to make informed decisions based on data insights.
- A track record of collaborating effectively across cross-functional teams and managing relationships with internal and external stakeholders.
- Eligibility for employment under regulatory standards applicable to the position.
Ascendo is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service or any other characteristic protected by federal, state or local law. Fantastic pay, benefits and atmosphere.
Ascendo Resources
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