Corporate Data Analyst - Fraud AML

About The Role

Summary: This role will lead and manage the fraud and BSA/AML data and reporting capabilities while maintaining strong relationships with business leadership to achieve company and regulatory objectives. The position supports the modernization of fraud/AML processes and leads the use of exploratory analytics and data automation to uncover insights from multisource datasets, extracting value from data, optimizing business processes, and driving competitive advantage through analytical techniques and data support.

Corporate Position: This may be located at an available bank division location across our nine‑state footprint in AZ, CO, , MT, NV, TX, UT, WA, or WY. The entry rate for this position is $69,464.94 + per year (calculated for Kalispell, MT). All compensation offers are analyzed individually and take into consideration multiple factors including geographic location, years of experience, and educational background.

WA Applicants Only: Range $75,663.06 to $ per year.

• Reviews existing data and operational processes to identify best practices and opportunities for improvement.
• Creates interactive dashboards, reports, and tools to support FrAML processes and communicate findings.
• Identifies and supports process improvement and operational modernization efforts throughout the fraud/BSA/AML business unit.
• Performs in‑depth statistical analysis using advanced statistical techniques and machine learning algorithms to support core business initiatives, including vendor‑provided models and tools.
• Develops and maintains efficient, reusable data assets to support analytics and reporting efforts.
• Works with key business partners to understand business priorities, identify strategic initiatives, and develop effective and timely analytic solutions. Supports and aligns with broader Business Intelligence and Analytics priorities.
• Remains updated with the latest methodologies, tools, and industry trends in machine learning and artificial intelligence.
• Must comply with all company policies and procedures and all applicable laws and regulations, including the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control. Must complete assigned online training courses and achieve a passing score by the due date.

Education: Bachelor's Degree in economics, quantitative business analysis, applied mathematics, statistics, management information systems or equivalent.

Experience:

• Minimum of 3 years in financial services with a focus in fraud and/or BSA/AML analytics.
• Minimum of 3 years experience working with data as an analyst or engineer, with visualization tools such as Tableau, Power
  
  BI, etc.
• Expert experience working with SQL and relational database systems.
• Beginner experience in other statistical or analytics‑related computer languages such as R, Python, Spark, or similar.
• Beginner experience in Data Modeling, Data Architecture, and Enterprise Data Governance Frameworks preferred, with a focus on Kimball‑style dimensional data modelling.
• Advanced / Specialized Knowledge in MS Excel, PowerPoint, Word, and the ability to create user‑friendly technical reports.
• Preferred knowledge of Data Bricks or similar modern data warehousing and analytics platform.

Would an equivalent combination of relevant education and work experience be considered?
Yes

• Ability to motivate or influence internal or external senior level professionals, obtaining cooperation and agreement on important outcomes via complex senior level dialogues and professional written communication.
• Exceptional communication skills, able to speak to every level, from C‑level executives to front‑line employees.
• Knowledge of and experience working with complex databases.
• Ability to analyze data to discover hidden patterns and conduct error/deviation analysis.
• Passion and curiosity about technology and empathy for solving customer needs.
• Results‑oriented mindset with the desire and ability to push through obstacles to achieve goals.
• Builds extensive networks, utilizes a large network of people, vendors, technologies to stay current.
• Strong interpersonal and communication skills, and ability…