What are the responsibilities and job description for the Business Intelligence Manager position at Veritas Partners?
Job Details
Responsibilities:
- Data Strategy and Analytics Program Development:
Develop and execute a data analytics strategy that supports the organization s AML compliance objectives. Establish best practices for collecting, analyzing, and interpreting data related to financial crimes and customer behavior. - Business Intelligence & Reporting:
Design and maintain real-time dashboards and reports that provide actionable insights into AML risks and program effectiveness. Deliver insights to senior management, the Board, and relevant stakeholders regarding emerging trends, key risk indicators (KRIs), and program performance. - Transaction Monitoring Optimization:
Collaborate with AML and compliance teams to develop data-driven approaches to optimize transaction monitoring scenarios and alerts, reducing false positives and enhancing detection of suspicious activities. - Predictive Analytics and Machine Learning:
Leverage predictive analytics, machine learning, and artificial intelligence to anticipate and identify potential AML risks and patterns. Develop models to forecast high-risk activities, transactions, or customer profiles. - Risk Assessment & Trend Analysis:
Perform regular data-driven AML risk assessments to identify areas of heightened financial crime risk. Analyze trends in transactional data, customer behavior, and external threats to proactively mitigate risk. - Regulatory Reporting and Compliance:
Ensure that all business analytics processes and outputs comply with regulatory requirements, including data governance, privacy, and security standards. Ensure timely and accurate reporting to regulatory bodies such as FinCEN or OFAC, as necessary. - Collaboration with Compliance & IT Teams:
Work closely with compliance, risk, and IT departments to align data analytics initiatives with broader AML program goals. Collaborate with the AML transaction monitoring and sanctions teams to ensure data accuracy and completeness in reporting. - Technology and Tools Oversight:
Oversee the selection and implementation of analytics tools, software, and platforms for AML data analysis. Stay current with industry trends and technologies in data analytics, machine learning, and compliance tech. - Team Leadership & Development:
Lead a team of data analysts, business intelligence professionals, and data scientists dedicated to supporting AML initiatives. Provide mentorship and development opportunities to ensure the team stays ahead of regulatory changes and advancements in analytics.
Experience:
- Bachelor s degree in Data Science, Statistics, Computer Science, Finance, or a related field (Master s degree preferred).
- Minimum 8-10 years of experience in data analytics, business intelligence, or a related role within financial services, with a focus on AML, financial crime, or risk management.
- Strong experience working with large datasets, data management, and advanced analytical techniques, including predictive analytics and machine learning.
- Experience in developing and optimizing AML transaction monitoring systems and understanding AML/KYC regulatory requirements.
- Familiarity with analytics tools such as SQL, Python, R, Tableau, Power BI, or similar platforms.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
