Senior Business Information Management Analyst (Data Remediation)

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. They are seeking a Senior Business Information Management Analyst to ensure compliance with FDIC Part 370 by conducting data remediation analysis and developing reports to highlight data issues. The role requires strong data analysis skills, a solid understanding of banking products, and effective collaboration across teams.

Responsibilities:

• Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance, including account holder identifiers, beneficial owner information, grantor and beneficiary data, ownership right and capacity classifications, pending reason codes, and required output file fields
• Experience with data remediation within financial institutions is highly preferred
• A thorough understanding of both lending and deposit accounts will further enhance a candidate’s suitability for this position
• Candidates should be adept at creating queries to pinpoint specific cases, with a keen eye for accuracy and detail
• Outstanding organizational skills and effective time management are vital for success in this role
• The candidate should demonstrate expertise in Excel and have a basic knowledge of SQL
• Experience developing issue-detection reports, data quality dashboards, reconciliation reports, exception management workflows, and remediation scorecards are a plus
• Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas
• Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
• Advanced analytical and problem solving skills and fluent in one or two programming language
• Works autonomously on a range of tasks and may be relied upon to coach / educate others
• Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
• In-depth experience working with very large datasets and familiarity with big data technologies
• Keeps abreast of rapid business and technology innovation within business information management field
• Familiar with visualization tools
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
• Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
• May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
• Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
• Supports business teams in the use and understanding of the data and reporting solutions
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
• Drives data-centric solution development focusing on complex data integration
• Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions

Requirements:

• Undergraduate degree or Technical Certificate
• 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
• Proficient knowledge of various data sources, tools and technologies used in preparing summaries and reports
• Analytical and problem solving skills are required to interpret data and draw conclusions
• Knowledge of current and emerging competitor and market trends
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Skill in mentoring/coaching others
• Skill in using computer applications including MS Office
• Ability to communicate effectively in both oral and written form
• Ability to work collaboratively and build relationships
• Ability to work successfully as a member of a team and independently
• Ability to exercise sound judgement in making decisions
• Ability to analyze, organize and prioritize work while meeting multiple deadlines
• Ability to handle confidential information with discretion
• Experience with data remediation within financial institutions
• Strong excel experience
• SQL skills
• Experience with building queries to seek out specific scenarios
• Strong attention to detail
• Excellent time management experience
• Experience with Data Remediation in financial institutions
• In depth knowledge of lending and deposit accounts