Hiring: Quantitative Analytics Specialist (Stress Testing Model Development) - SAS/Python Company: TD Location: Wilmington, DE Job Posted Time: 2026-09-15 13:44:49 Employment Type: Remote Target Skills & Keywords : Microsoft Office, Python, Risk Management, SQL About the job Experience: •Proven interpersonal and consultative communication skills with well-developed presentation skills •Demonstrated capacity to successfully plan, develop, lead, and execute projects •Demonstrated capacity to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through •Proven ability to manage competing priorities effectively, making good decisions based on business priorities and objectives •Comprehensive practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies Required Skills: •This position will support TD Bank's treasury model development team in developing quantitative models to forecast balance and fee income for various loan and deposit products. (Note: this is an in-office position in our Wilmington, DE or Mount Laurel, NJ office; "NOT" Remote eligible) Qualifications: •Quantitative academic background: Master's degrees in statistics/math, econometrics, engineering, etc. (PhD preferred but not required) •2 to 3+ years of experience in developing Quantitative Models (CCAR/PPNR/DFAST modeling experience for Stress Testing is a big plus). •Strong hands-on expertise with SQL/SAS/Python/R. •Deep knowledge in banking business and familiar with the banking industry data. •Proven ability to communicate complex technical concepts to business partners, senior leadership, and regulators. •Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams. •Provides financial, analytical, modeling expertise to build quantitative models for business projects •Conducts complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio •In-depth understanding of the whole function and/or key business areas supported •Performs statistical model assumptions' tests for soundness of model theory Compensation: •$96,130 - $144,190 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!