Sr. Data Analyst – BSA/AML/Fraud Testing and Analytics - Risk Evaluation & Assurance Program

Location:

4910 Tiedeman Road - Brooklyn, Ohio 44144

About the Job

As part of Key’s second line of defense Compliance Risk Management function, the Risk Evaluation and Assurance Program (the “REA Program”) has the responsibility for evaluating Key’s ongoing compliance with applicable laws and regulations through the execution of compliance monitoring and testing across Key’s lines of business, products, and functional activities. In this role, the Sr. Data Analyst – BSA/AML/Fraud Testing and Analytics, serves in the critical role of execution of testing and monitoring through the development of advanced data-driven testing methodologies, analysis, and monitoring.  This role is designed for a creative, intellectually curious, problem-solver interested in helping to advance our collaborative and data-driven testing approach utilizing a suite of analytical tools. The ideal candidate will have a functional knowledge of financial services operations, products, and/or compliance, strong technical data analysis skills, and acumen (i.e. – retrieving, combining, and analyzing data specific to CIP, KYC, CDD, EDD, OFAC, banking transactions and Fraud) and a passion for continuous learning and challenging the status quo.

Essential Job Functions

• Work within a team of risk evaluation and assurance professionals, working to provide an independent Second Line of Defense approach to risk-based monitoring, testing, and analytics evaluation by focusing on current, high impact BSA/AML, OFAC, Fraud-related compliance risks, and assessment of control effectiveness through the execution of risk evaluations and ongoing assessments.
• Mine, explore, and analyze data to identify trends and outliers, evaluate compliance with internal policy/procedures and/or regulatory requirements, and assess root cause(s) of any issues identified.
• Assist in the design and implementation of methods to integrate the use of data analytics into ongoing testing evaluations, ad-hoc monitoring, and risk intelligence reporting and dashboarding. This includes the development of data visualizations, summaries, and/or reporting solutions utilizing various analytical tools and software (e.g. Tableau, Cognos, Excel, etc.).
• Demonstrate strong collaboration skills to work across KeyBank’s line of defenses to effectively analyze bank data with the goal of driving depth of testing coverage and increasing efficiency within scheduled evaluations.
• Utilize data analysis tools and techniques to analyze, quantify, and assess risks and to evaluate controls to identify potential weaknesses and/or control gaps. Leverage existing and emerging enterprise technologies and metadata repositories to locate, access, and understand data to assist in the development of REA’s documentation of data sources and the advancement of REA’s testing and monitoring program.
• Working knowledge, as well as ability and interest in maintaining, and continuously developing knowledge of BSA/AML (KYC, CIP, CDD, EDD), OFAC, Fraud compliance regulations and laws including banking/consumer compliance regulations and laws, industry trends, emerging issues, and related banking products (e.g. – lending, deposits, etc.) and ability to understand its applicability to data analytics, testing, and monitoring strategies.

Required Qualifications

• Bachelor’s Degree in Information Technology/Systems (IT / MIS), Business Analytics, Computer Science, or other related quantitative or IT field of study.
• Minimum 3 years of practical and functional experience in data extraction, analysis, and/or reporting typically achieved through work as a: business, data, operations, compliance, or risk analyst; internal auditor; or role that includes significant aspects of the listed essential job functions.
• Experience with data harvesting and analytic tools (i.e. SAS Enterprise Guide, Google Cloud Platform BigQuery, SQL, Python, R, ACL, Excel/VBA, etc.).
• Knowledge of and proficiency in data mining concepts and approaches with experience in query writing/coding utilizing analytical programming languages (i.e. SAS, SQL), data visualization tools (e.g. Tableau, etc.).
• Skill and ability to work with big data and navigate data warehouse(s) and retrieving, combining, and analyzing data.
• Experience with retrieving and a proficient understanding of banking products and transactional data and customer information data.
• Autonomous, self-motivated, and flexible with the ability to adapt quickly to change or shifting priorities in a fast-paced environment.
• High ethical standards, strong critical/strategic thinking, detective, analytical, and problem-solving skills.
• Strong interpersonal skills, effective communication (verbal and written) with the ability to develop and maintain strong, collaborative relationships in a team