Senior Data Remediation Specialist (US)

TD•Boston, MA

4d•$72,280 - $117,520

About The Position

The Senior Data Remediation Specialist conducts data remediation analysis to support TD’s compliance with FDIC Part 370, which governs recordkeeping for timely deposit insurance determinations. The role researches and performs quality assurance on account and customer data concerns, identifies exception populations, and develops and maintains recurring reports highlighting data issues that require remediation. The work aims to improve the completeness, accuracy, traceability, and usability of deposit account records for FDIC 370 reporting, ongoing testing, and certification readiness. The position requires expertise in data analysis and reporting, knowledge of banking products and regulatory requirements, and the ability to work with relational data sets and large datasets. The specialist collaborates with business and technology partners to understand requirements, investigate and resolve data issues, improve data quality, and support data governance and information management solutions. The role also contributes subject-matter expertise to projects, supports data users, and may lead moderately to highly complex projects or processes. The role is based in Mount Laurel, New Jersey, and is listed as 40 hours. TD describes its total rewards package as including base salary and variable compensation or incentive awards, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition. Training and onboarding, development conversations, an online learning platform, and mentoring programs are also offered.

Requirements

Undergraduate degree or technical certificate.
At least 5 years of relevant experience in a business administration, statistical, mathematical, scientific, or financial background.
Proficient knowledge of data sources, tools, and technologies used to prepare summaries and reports.
Analytical and problem-solving skills 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 and coaching others.
Skill in using computer applications, including MS Office.
Ability to communicate effectively orally and in writing.
Ability to work collaboratively, build relationships, and work both independently and as a team member.
Ability to exercise sound judgment, organize and prioritize work, meet multiple deadlines, and handle confidential information with discretion.
Expertise in Excel.
Ability to understand relational data sets and identify specific scenarios, with accuracy and attention to detail.
Strong organizational and time-management skills.
Expert-level conceptual and practical knowledge in the area of specialty, with working knowledge of broader related areas.
Advanced analytical and problem-solving skills and fluency in one or two programming languages.
Experience working with very large datasets and familiarity with big data technologies.
Ability to work autonomously and coach or educate others.
Ability to lead moderately to highly complex projects, end-to-end processes, or functional programs.

Nice To Haves

Experience with data remediation within financial institutions.
A thorough understanding of lending and deposit accounts.
SQL experience.
Familiarity with visualization tools.

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.
Research account and customer data concerns, perform quality assurance, identify exception populations, and develop and maintain recurring reports that highlight data issues requiring remediation.
Analyze business and data requirements and develop complete business solutions, including data models, business rules, data lifecycle management, governance, lineage, metadata, and reporting elements.
Design and implement data information management frameworks and solutions that meet business requirements.
Collaborate with business and technology partners to resolve issues, meet requirements and established service-level agreements, and ensure data designs and development align with planned standards.
Develop business requirements by researching, analyzing, and documenting business data requirements.
Provide expert guidance on data impact assessments and data risk mitigation for projects and change initiatives.
Implement data information management standards and develop processes and requirements that support data quality, including rules, thresholds, and assessments.
Maintain knowledge of upstream data sources and data available within various platforms; identify critical data elements that support data governance and management frameworks.
Perform data profiling using TD tools and ad hoc query languages to validate data analysis.
Support the data lifecycle by resolving data issues and helping users interpret data.
Lead investigations into root causes of data issues and ensure issues are resolved.
Identify or define knowledge-transfer and data expertise activities to help business teams use information management solutions.
Ensure business data is retained and disposed of in accordance with enterprise standards, policies, and guidelines.
Conduct functional or enterprise-level analysis, draw conclusions, make recommendations, and assess the effectiveness of programs, policies, and practices.
Keep abreast of emerging issues, trends, and regulatory requirements and assess potential impacts.
Support risk management and control through effective processes aligned with risk appetite and applicable internal and external requirements.
Participate as a subject-matter expert in cross-functional and enterprise initiatives, identifying risks and providing guidance on complex situations.
Contribute to team development through knowledge sharing, mentorship, cross-training, and communication about project progress and relevant day-to-day information.
Build productive relationships with internal and external business partners and stakeholders, and contribute to a positive, diverse, and equitable team environment.

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
Banking benefits and discounts
Career development
Reward and recognition
Online learning platform
Mentoring programs
Training and onboarding
Variable compensation or incentive awards, potentially including cash and/or equity incentive awards