Director of Business Intelligence & Analytics - AML

At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.

Work Location:  Hybrid in Malvern or West Reading, PA., coming into the office at least 3-days per week with Monday, Tuesday, and Thursday being the set in-office days.  If within a 50-mile radius of a Customers Bank location, the expectation is to be hybrid.  All subject to change.

Must be legally eligible to work in the United States without sponsorship, now or in the future, to be considered.

Who is Customers Bank?

Founded in 2009, Customers Bank is a super-community bank with over $22 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.

We get you further, faster. 

Focused on you:  We provide every customer with a single point of contact. A dedicated team member who’s committed to meeting your needs today and tomorrow.

On the leading edge:  We’re innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.

Proven reliability:  We always ground our innovation in our deep experience and strong financial foundation, so we’re a partner you can trust.

What You’ll Do:

The Director of Business Analytics - AML will lead the development and execution of data-driven strategies to enhance the organization’s Anti-Money Laundering (AML) and financial crimes compliance programs. The director will play a pivotal role in leveraging data analytics, business intelligence, and predictive modeling to improve the effectiveness and efficiency of AML systems, including transaction monitoring, customer due diligence (CDD), and sanctions screening. This role requires a deep understanding of both compliance requirements and advanced analytics to ensure proactive risk management and regulatory compliance.

Key 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.

What Do You Need?

Education:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or a related field (Master’s degree preferred).

Experience:

• 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.

Skills and Competencies:

• Strong knowledge of AML regulations and financial crime compliance requirements.
• Expertise in data modeling, risk analysis, and the development of predictive and descriptive analytics.
• Advanced skills in data visualization and presentation, with the ability to translate complex data into actionable insights for non-technical stakeholders.
• Experience in leading and developing teams, with a strong ability to collaborate cross-functionally.
• Strong project management and problem-solving skills, with attention to detail and an ability to meet deadlines in a fast-paced environment.

Desired Certifications:

• CAMS (Certified Anti-Money Laundering Specialist)
• CFE (Certified Fraud Examiner)
• CDP (Certified Data Professional)
• Other relevant certifications in data analytics and AML compliance.

Technology Skills:

• Ability to work with the Microsoft Suite and learn/work with other Customers Bank’s applications.

Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also provide “reasonable accommodations”, upon request, to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws. 

Diversity Statement:

At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let’s take on tomorrow.