Senior Data Remediation Specialist

🔥 1 minute ago

🏖️ New Jersey, New York, +2 more states – Remote

🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote

💵 $72.3k - $117.5k / year

⏰ Full Time

🟠 Senior

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TD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

🛡️ Insurance

💰 Grant on 2023-10

Banking • Finance • Insurance

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

📋 Description

• Conduct data remediation analysis for deposit account data elements required for FDIC Part 370 compliance • Research and perform quality assurance on account and customer data concerns • Identify exception populations • Develop and maintain recurring reports highlighting data issues requiring remediation • Enhance the completeness, accuracy, traceability, and usability of deposit account records • Support FDIC 370 reporting, ongoing testing, and certification readiness • Analyze business and data requirements to develop complete business solutions, including data models and business rules • Apply automation and innovation on data platforms and development projects • Design and implement complex business data information management frameworks • Collaborate with technology and business partners to resolve issues and meet established SLAs • Provide analysis and requirements for data design and development initiatives • Develop business requirements by researching, analyzing, and documenting business data requirements • Provide expert guidance for data impact assessments and data risk mitigation • Implement data information management standards and data quality rules, thresholds, and assessments • Maintain knowledge of upstream data sources and data across platforms • Identify critical data elements supporting data governance and data management frameworks • Ensure data is retained and disposed of in compliance with enterprise standards and policies • Perform data profiling using TD tooling and ad hoc query languages • Support the data lifecycle by resolving data issues and helping users interpret data • Lead root-cause investigations and ensure data issues are resolved • Support knowledge transfer and data expertise activities • Participate as a subject matter expert in cross-functional and enterprise initiatives • Conduct functional or enterprise-level analysis and make recommendations • Monitor emerging issues, trends, and evolving regulatory requirements • Maintain risk management and control processes • Participate fully as a team member and support a positive, collaborative work environment • Share industry knowledge and participate in knowledge transfer • Mentor others and contribute to team development • Keep stakeholders informed about project status and daily activities • Build productive relationships with internal and external business partners • Act as a brand ambassador for the business area and bank

🎯 Requirements

• Undergraduate degree or Technical Certificate • 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background • Experience with data remediation within financial institutions highly preferred • Thorough understanding of lending and deposit accounts • Ability to understand relational data sets and pinpoint specific scenarios • Outstanding organizational skills and effective time management • Expertise in Excel • SQL experience considered a valuable asset, but not required • Expert-level conceptual and practical knowledge in own area of specialty • Advanced analytical and problem-solving skills • Fluency in one or two programming languages • In-depth experience working with very large datasets • Familiarity with big data technologies • Familiarity with visualization tools • Knowledge of data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes • Knowledge of data modeling capabilities • Knowledge of data road maps and information management strategies • Proficient knowledge of data sources, tools, and technologies used in preparing summaries and reports • Knowledge of current and emerging competitor and market trends • Skill in analytical software tools, data analysis methods, and reporting techniques • Skill in mentoring/coaching others • Skill in computer applications including MS Office • Effective oral and written communication • Ability to work collaboratively and independently • Sound judgment in decision-making • Ability to analyze, organize, and prioritize work while meeting multiple deadlines • Ability to handle confidential information with discretion

🏖️ Benefits

• Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards • 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 • Regular career, development, and performance conversations • Online learning platform • Mentoring programs • Training and onboarding sessions • Employee assistance with workplace accommodations • Remote work arrangement

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