Senior Data Remediation Specialist (US)

TD Bank Group; United States; On-site; USD 72,000 - 118,000; Full time

Job summary

TD Bank Group in Mount Laurel, New Jersey, is seeking a Data Remediation Analyst to ensure FDIC Part 370 compliance. You will conduct in-depth data remediation analyses, researching and QA on deposit account data, and develop recurring reports to highlight issues requiring remediation.

You will collaborate across functions, apply advanced analytics, and utilize Excel and data tools to improve accuracy, traceability, and certification readiness.

Qualifications

• Advanced analytical and problem solving skills and fluent in one or two programming language.
• Expert level professional role with in-depth knowledge in own domain.
• Strong ability to work autonomously and coach others.

Responsibilities

• Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance.
• Develop and maintain recurring reports highlighting data issues needing remediation.
• Collaborate cross-functionally to ensure completeness, accuracy, traceability and usability of deposit records.

Skills

Analytical thinking

Problem solving

Programming languages

Cross-functional collaboration

Autonomous work

Tools

Excel

SQL

Visualization tools

Big data technologies

Job description

Work Location: Mount Laurel, New Jersey, United States of America

Hours: 40

Pay Details: $72,280 - $117,520 USD

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.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Data & Analytics Job Description: 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. In this position, the analyst will be responsible for conducting in-depth data remediation analysis, performing research and quality assurance on several account and customer data concerns each day, as well as identifying exception populations. Additionally, they will develop and maintain recurring reports that highlight data issues requiring remediation. The successful candidate will bring expertise in data analysis and reporting, a solid understanding of banking products, and familiarity with regulatory requirements. Strong cross-functional collaboration skills are essential, as is the ability to enhance the completeness, accuracy, traceability, and overall usability of deposit account records. These efforts are critical for robust FDIC 370 reporting, ongoing testing, and ensuring certification readiness.

Depth & Scope:

• 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 understanding relational data sets to pinpoint specific scenarios, 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.
• While SQL experience is not required, it would be considered a valuable asset.
• The candidate will operate within a collaborative team environment, maintaining a clear understanding of team objectives while independently managing and executing assigned responsibilities with a high degree of accountability and professionalism.
• 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 re