Senior Business Information Management Analyst (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$68,640 - $102,960 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:

Department Overview:

The Financial Crime Risk Management (FCRM) group at TD Bank Group (TDBG) is accountable for establishing Enterprise Anti-Money Laundering (AML) and Anti-Terrorist Financing (ATF) program to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. The FCRM Data Strategy and Management team focuses on three areas to make complete and accurate data available and readily accessible to all FCRM capabilities. 1) Define FCRM's data strategy & roadmap to enable AML capabilities at their target state and advance the roadmap via technology and non-technology projects, and operating model/governance/process enhancements. 2) Establish and execute data risk controls including reporting and escalation, adhering to the Bank's data management standards. 3) Deliver data requirements for FCRM projects.

Depth & Scope:

• 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

Education & Experience:

• Undergraduate degree or Technical Certificate
• 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
• Proficient