{"id":917666,"url":"https://alion.io/job/td-bank-group-quantitative-analytics-specialist-stress-testing-model-development-saspython","title":"Quantitative Analytics Specialist (Stress Testing Model Development) - SAS/Python","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":667,"ghost_share":0.004,"stale_share":0.141,"repost_share":0.036,"time_to_fill_p50_days":13,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wilmington, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":96130,"max":144190,"currency":"USD","period":"year","gross":null,"usd_annual":144190},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Microsoft Office","optional":true},{"name":"Python","optional":true},{"name":"SAS","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-14T21:36:02Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-29T02:06:44Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":43},"description":"Work Location:\nWilmington, Delaware, United States of AmericaHours:\n40Pay Details:\n$96,130 - $144,190 USDTD 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.\nAs 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.\nLine of Business:\nRisk ManagementJob Description:\nPosition Overview:\nThis 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)\nPreferred Qualifications:\nQuantitative academic background: Master's degrees in statistics/math, econometrics, engineering, etc. (PhD preferred but not required)\n2 to 3+ years of experience in developing Quantitative Models (CCAR/PPNR/DFAST modeling experience for Stress Testing is a big plus).\nStrong hands-on expertise with SQL/SAS/Python/R.\nDeep knowledge in banking business and familiar with the banking industry data.\nProven ability to communicate complex technical concepts to business partners, senior leadership, and regulators.\nProven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams.\nThe Quantitative Analytics Specialist provides the quantitative analysis and builds the advanced quantitative models to meet business requirements. In addition, the Quantitative Analyst provides highly specialized quantitative analytical and modeling support at the assigned line(s) of business and Lead the development and enhancement of advanced quantitative models to enable efficient pricing and risk management of business products. Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making.\nDepth & Scope:\nProvides financial, analytical, modeling expertise to build quantitative models for business projects\nConducts complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio\nIn-depth understanding of the whole function and/or key business areas supported\nPerforms statistical model assumptions' tests for soundness of model theory\nHands on modeling in the entire life cycle\nLeads activities of unit, assigning, prioritizing and monitoring work\nReviews model results and identifies unexpected results\nProvides training and mentoring for new and less experienced staff\nResolves escalated issues and problems by conferring with staff\nProvides financial, analytical, planning, and forecasting expertise to assist in the development and completion of projects\nDevelops specialized analytical tools for projects or ongoing use\nMay manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes\nMay lead additional research efforts, applying expertise in statistical analysis and modeling.\nExplores best practice modeling techniques for model enhancement\nDevelops and maintains strong business relationships with business line management\nHighly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas\nIntegrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations\nInterprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services\nActs as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists\nLeads cross-functional teams or projects with significant resource requirements, risk and / or complexity\nIndependently manages end-to-end functional programs \nSolves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions\nUses sophisticated analytical thought to exercise judgement and identify solutions \nImpacts the achievement of sub-function or business line objectives within the area they are accountable for \nWork is guided by policies and industry standards/methods \nCommunicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders \nWorks autonomously as the lead and guides others within area of expertise \nEducation & Experience:\nUndergraduate 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\n5+ years relevant experience, In-depth knowledge of quantitative models and statistical analysis\nProven interpersonal and consultative communication skills with well-developed presentation skills\nAbility to successfully plan, develop, lead, and execute projects\nAbility to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through\nProven ability to manage competing priorities effectively, making good decisions based on business priorities and objectives\nComprehensive practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies\nDemonstrated knowledge of financial analysis and planning software applications\nProven ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information\nProficiently use Microsoft Office tools to prepare and present analysis results to the audience\nAbility to exercise sound judgment in making decisions\nAbility to analyze complex information and develop plans to address identified issues\nDemonstrated 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\nSkill in collecting, organizing and analyzing complex or technical data\nSkill in using logic and reasoning to identify the strengths and weaknesses of alternative situations, conclusions or approaches to problems\nSkill in active learning by understanding the implications of new information for both current and future problem solving and decision making\nSkill in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions\nSkill in decision making by considering relative costs and benefits of potential actions and choosing the most appropriate option\nAbility to determine which issues to escalate versus to resolve independently, and provide suggestions for possible resolution\nAbility to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)\nAbility to evaluate documents for accuracy and legal conformance\nAbility to anticipate and diffuse problems before they occur\nAbility to conduct short-range and long-range business planning\nAbility to develop objectives, evaluate effectiveness and assess needs\nAbility to recognize, analyze and solve a variety of problems\nAbility to identify problems, evaluate alternatives and implement effective solutions\nAbility to implement new systems and procedures and to evaluate their effectiveness\nAbility to problem solve a variety of situations\nAbility to contribute to strategic direction of the function and provide advice to senior leadership\nAbility to think strategically and possess strong business acumen\nAdvanced skills in SAS and SQL\nAdvanced level in statistical analysis and modeling tools\nCustomer Accountabilities:\nUnderstands and supports the Bank's Customer Service Strategy\nConsiders the impact of decisions on the well-being of TD, its Customers and stakeholders\nProvides the highest level of Customer service when dealing with internal partners, vendors or our Customers - WOW at every opportunity\nModels quality service delivery at every interaction\nLeads and contributes to the ongoing improvement of the partner / Customer experience\nProvides senior level support in the identification and assessment of risks and recommends policies for modelling these risks\nProvide financial, analytical, planning, and forecasting expertise to assist in the development and completion of relevant model development or validation projects\nPerform quantitative analysis, programming and computer modelling related to the research of consistent operational risk measurements across broad range of relevant products\nConduct complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio \nApply in-depth understanding of the whole function and/or key business areas supported in the development or validation of complex models\nProvide financial, analytical, modeling expertise to build quantitative models for financial regulatory projects\nPerform quantitative model assumptions' tests for soundness of model theory\nReview model results and identifies unexpected results.\nResolve escalated issues and problems by conferring with staff\nDevelop specialized analytical tools for projects or ongoing use\nMay manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes\nMay assist with creation and oversight of model documentation, as necessary\nMay lead additional research efforts, applying expertise in quantitative analysis and modeling\nExplore best practice modeling techniques for model enhancement\nPerform analysis of model risk and valuation calculations as applied to current markets, explain and validate results with trading management, and justify or remediate any observed anomalies\nProvide training and mentoring for new and less experienced staff\nDevelop and maintain strong business relationships with trading desks and business line management\nAssists in the development, forecasting, and analysis of potential responses to regulatory inquiry related to models \nShareholder Accountabilities:\nAdhere to enterprise frameworks or methodologies that relate to activities for our business area\nEnsure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities\nConsistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate\nEnsure business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)\nParticipate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations \nConduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience\nConduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices\nMonitor service, productivity and assess efficiency levels within own function and 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