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Senior Quantitative Analyst (US)

LinkedIn TD Wilmington, DE
Not Applicable Posted March 26, 2026 Job link
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Requirements
  • Strong hands-on expertise with SAS, Python, and/or R.
  • Deep knowledge in banking business and familiar with the banking industry data.
  • Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams
  • 3+ years relevant experience, In-depth knowledge of quantitative models and statistical analysis
  • Ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
  • Strong communications skills, both written and verbal
  • Strong interpersonal and consultative communication skills with well-developed presentation skills
  • Ability to manage competing priorities effectively, making good decisions based on business priorities and objectives
  • Practical knowledge of financial analysis techniques and methodologies
  • Ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information
  • Proficiently use Microsoft Office tools to prepare and present analysis results to the audience
  • Advanced skills in SAS and SQL
  • Advanced level in statistical analysis and modeling tools
  • Ability to exercise sound judgment in making decisions
  • Ability to analyze complex information and develop plans to address identified issues
  • Demonstrated skills in conflict resolution, strong intuitive judgment and negotiation/influencing skills, flexibility and adaptability to changing priorities in a fast-paced environment, along with a strong consultative approach
  • Skill in collecting, organizing and analyzing complex or technical data
  • Skill in using logic and reasoning to identify the strengths and weaknesses of alternative situations, conclusions or approaches to problems
  • Skill in active learning by understanding the implications of new information for both current and future problem solving and decision making
  • Skill in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
  • Ability to evaluate documents for accuracy and legal conformance
  • Ability to conduct short-range and long-range business planning
Preferred Skills
  • Graduate degree in quantitative discipline (e.g., Statistics, Economics, Mathematics, Engineering, or related field).
  • Extensive experience in developing quantitative models.
  • PPNR modeling experience for stress testing is plus.
  • Strong hands-on expertise with SAS, Python, and/or R.
  • Deep knowledge in banking business and familiar with the banking industry data.
  • Proven ability to communicate complex technical concepts to general audience.
  • Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams
  • Depth & Scope
Education
  • (Not required) – Graduate degree in quantitative discipline (e.g., Statistics, Economics, Mathematics, Engineering, or related field).
  • (Required) – Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
  • (Not required) – Advanced level in statistical analysis and modeling tools