Lead Risk Analytics Consultant - BSA/AML Data Strategy

• Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis
• Work with data partners to develop requirements to accurately identify populations that require remediation
• Convert complex business requirements into actionable technical requirements
• Assist with the development of code to satisfy the requirements
• Lead initiatives across multiple lines of business to create consistency while gaining approval and support of senior leadership
• Identify gaps or inconsistencies within requirements and work toward an effective solution
• Provide influence and leadership in the identification of new tools and methods to analyze data
• Ensure adherence to compliance and legal regulations and policies on all projects managed
• Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
• Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
• Strategically collaborate and consult with peers, colleagues, and mid-level-to-senior managers to resolve issues and achieve goals
• Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors

• 5+ years of Risk Analytics experience or equivalent demonstrated through work experience, training, military experience, or education
• Ability to work and influence successfully within a matrix environment by establishing and maintaining effective working relationships with all levels of the organization
• Knowledge and understanding of business requirements gathering and translation to technical requirements
• Problem solving using data and business knowledge
• Experience with BSA/AML customer and product data
• Knowledge of the modern data stack and experience performing complex data analysis, research, and visualization using tools such as SQL, SAS, Power BI, Alteryx, etc.
• Familiar with large relational databases
• Strong analytical and problem-solving skills with high attention to detail and with sound business judgment
• ability to interpret analytical problems
• Familiar with Hadoop, Google BigQuery, Spark, AI development tools, and/or similar tools

Familiar with Hadoop, Google BigQuery, Spark, AI development tools, and/or similar tools