Sr. Business Data Analyst - Hybrid

BankUnited - Miami Lakes, FL

Full-time - Mid Level

Remote - Miami Lakes, FL

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About the position

The Sr. Business Data Analyst (SBDA) plays a pivotal role within the Advisory & Strategic Initiatives Management (ASIM) division at BankUnited, reporting directly to the Business Risk Advisory Officer. This position is essential for supporting all First Line of Defense (FLOD) risk management activities conducted by the Business Risk Officer, while also addressing the data analytics needs of the ASIM division. The SBDA is tasked with identifying, evaluating, and monitoring various risk taxonomies related to the strategic initiatives undertaken by the Bank. This role requires close collaboration with front-line bankers and line of business personnel to effectively execute risk management strategies, as well as working alongside second-line risk management colleagues. In this capacity, the SBDA will leverage data analytics to bolster the bank's risk management strategy. The role involves applying advanced data analysis and statistical techniques to assess risk across multiple first-line business units, enhance predictive modeling, and refine decision-making processes. The SBDA will utilize data mining techniques to collect, process, and analyze large datasets pertinent to risk exposure, and develop predictive models to forecast risks and outcomes that could impact the bank's operations and financial stability. Collaboration is key in this role, as the SBDA will work with IT and data science teams to improve data collection procedures and the quality of analytics. Compliance with data governance and protection standards is crucial to maintain data integrity and security. The SBDA will prepare detailed reports and visualizations for senior management, illustrating insights derived from complex datasets, and will maintain comprehensive documentation of risk control processes and methodologies. Additionally, the SBDA will coordinate monthly 1LOD Operational Risk Reporting, monitor and analyze Key Risk Indicators (KRIs) within business units, and assist in developing standardized reporting. This position requires a professional demeanor in all communications and the ability to build cohesive relationships across various departments to ensure alignment with the Bank's strategic objectives.

Responsibilities

• Utilize data mining techniques to collect, process, and analyze large datasets related to risk exposure.
• Develop predictive models to forecast risks and outcomes that potentially impact the bank's operations and financial stability.
• Collaborate with IT and data science teams to enhance data collection procedures and improve the quality of analytics.
• Ensure compliance with data governance and protection standards to maintain data integrity and security.
• Prepare detailed reports and visualizations for senior management to illustrate insights from complex datasets.
• Prepare and maintain complete documentation of risk control processes and methodologies.
• Collaborate and work with stakeholders in coordinating monthly 1LOD Operational Risk Reporting, which includes data analytics and risk management activities through GRC tool.
• Monitor and analyze KRI's within the business units and assist in developing standardized reporting.
• Provide input and ongoing feedback with respect to the development of all risk management activities, including in-business monitoring and testing.
• Ensure all written and verbal communications initiated by the team are professional, clearly spoken and written, consistently, and accurate.
• Prepare and analyze reports to identify deficiencies.
• Build cohesive relationships with various departments and key individuals across the organization.
• Confer and cooperate with appropriate internal departments to ensure coordination of activities meets strategic objectives for Bank.
• Work independently while functioning collaboratively as part of a larger team.
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

Requirements

• Bachelor's Degree or Master's degree in Data Science, Statistics, Computer Science, or a related field preferred.
• 3+ years of experience in data analysis, preferably in the banking or financial services industry.
• Proficiency in analytical software and programming languages such as SQL, R, Python, and Tableau preferred.
• Comprehensive knowledge of operations, client relationship, risk management and strategic planning with a strong working knowledge of bank regulations and back-office processes and systems.
• Above-average writing skills, proficient with Outlook, Word, Excel and PowerPoint.

Benefits

• Competitive benefits plan
• Tuition reimbursement
• Career coaching and training through GO FOR MORE™ Academy
• Mentoring opportunities through iCARE™ program
• Hybrid work environment
• Remote work options for designated positions