Sr Business Analyst, Architecture & Data Science (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$68,640 - $112,320 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:

Enterprise Enabling Functions

Job Description:

Department Overview:

The Sr Business Analyst role sits within Financial Crimes Risk Management (FCRM) and works on various systems and data related projects that relevant to AML processes, design solutions that include the enhancement/advancement of transaction monitoring systems, the development and management of analytics/metrics and the creation and management of data ecosystems.  The candidate in this role will work with FCRM stakeholders to collect understand the needs of the department, develop solutions, and maintain effective data management strategies. 

Job Description Summary:

The Sr Business Analyst plans, manages, leads and oversees the end-to-end delivery of requirements throughout the lifecycle of the project in alignment with the business and/or enterprise needs and strategies. Provides leadership and works collaboratively with stakeholders including business, technology and finance partners to support project benefits and changes to business processes, policies and systems across single or multiple Lines of Business (LoB).

Depth & Scope:

• Leads Requirements Management / work packages for Tier 3-4, low to moderate risk and regulatory projects with multiple stakeholders and across multiple LoB
• Advanced to expert knowledge of business analysis, project delivery practices and standards across the project life-cycle
• Gains/acquires sound to advanced understanding of business and user interaction with technology throughout project delivery
• Works independently as the senior or lead business analyst and coaches and guides members within area of expertise
• Identifies and leads problem resolution for complex issues at all levels
• Contributes to the communication and change management activities across multiple stakeholders

Education & Experience:

• Undergraduate degree required
• Business Analysis Accreditation is an asset
• 5+ years related business analysis experience required

Preferred Skills:

• Able to interact with various stakeholders within business and technology functions
• Ability to manage a high demand of requests and change of scope
• Ability to analyze processes to decipher business requirements/needs
• Python, SQL, and R for data wrangling, feature engineering, and model prototyping (pandas, numpy, scikit-learn).
• Dashboarding & storytelling in Power BI or Tableau; turning results into clear visuals and narratives.
• Comfort with data modeling and governance (documentation, lineage, data quality checks; handling sensitive/PII data).
• Experience with MLOps: Git, notebooks, code review, reproducibility, simple testing, and handoffs to engineering.
• Experience with big-data tools (PySpark/Databricks/Snowflake/Arrow).
• Understanding of AML processes, typologies, and regulatory drivers; ability to apply analytics to reduce false positives, detect emerging risks, and support investigative workflows.
• Experience in financial-crime analytics, and related compliance domains (transaction monitoring, screening, alert scoring, segmentation); knowledge of Actimize or similar vendor platforms is an asset.
• Strong collaborator who can translate business problems into analytical tasks, summarize trade-offs, and incorporate feedback quickly.
• Experience with creating and documenting data models
• Experience with Data Governance & Management
• Growth mindset—curiosity, initiative, and comfort working through ambiguity on multiple requests.

Customer Accountabilities:

• Leads a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
• Analyzes impacts to customers, stakeholders, employees, proces