Senior Business Information Management Analyst (Data Remediation)

About the role

We are looking for a skilled data remediation analyst to ensure our ongoing compliance with FDIC Part 370, which governs recordkeeping for timely deposit insurance determination.

Responsibilities

• Conduct in-depth data remediation analysis, performing research and quality assurance on several account and customer data concerns each day.
• Identify exception populations and develop and maintain recurring reports highlighting data issues requiring remediation.
• Ensure ongoing compliance with FDIC Part 370 by conducting data remediation analysis for deposit account data elements required for 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.
• Bring expertise in data analysis and reporting, a solid understanding of banking products, and familiarity with regulatory requirements.
• Enhance the completeness, accuracy, traceability, and overall usability of deposit account records.

Requirements

• 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.
• 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.
• Expertise in Excel and a basic knowledge of SQL.
• Experience developing issue-detection reports, data quality dashboards, reconciliation reports, exception management workflows, and remediation scorecards are a plus.

Qualifications

• 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.
• Experience with building queries to seek out specific scenarios preferred.
• Strong attention to detail preferred.
• Excellent time management experience preferred.
• Experience with Data Remediation in financial institutions preferred.
• In depth knowledge of lending and deposit accounts preferred.

Skills

• 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.
• 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.
• 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.

Benefits

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

Pay

$72,280 - $108,160 USD

Schedule

40 hours per week