Position Title:

Quantitative Analytics Specialist

Location:

Mount Laurel, NJ

Position Summary:

Quantitative Analytics Specialist @ TD Bank, National Association d/b/a TD Bank, America’s Most Convenient Bank (Mount Laurel, NJ) F/T –Provide financial, analytical, modeling expertise to build quantitative models for business projects. Conduct complex quantitative analysis. Perform statistical model assumptions’ tests for soundness of model theory. Provide hands-on modeling in the entire life cycle. Review model results and identify unexpected results. Provide training/mentoring for new and junior staff. Develop specialized analytical tools for projects or ongoing use. Manage development of conclusions and courses of action to rectify discrepancies, and analysis to be presented to management to aid in decision-making processes. Integrate knowledge of enterprise sub-functions or business line strategy in developing solutions across multiple functions/operations. Interpret internal and external business challenges and the industry environment, and recommend courses of action and best practices to improve products, processes, or services. Convert information to compelling business context and advice. Influence and gain alignment across increasingly senior stakeholders. Remote work permitted up to 3 days per week.Total Rewards at TD includes base salary and variable compensation/incentive awards and key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Rate of pay: $95,264 - $142,896 /yr.

Required Qualifications:

Position requires a Master’s degree, or foreign equivalent, in Finance, Economics, Management Science and Engineering, or related field. Must have experience with or academic exposure to each of the following: Building and validating quantitative models, including ability to interpret requirements/needs and select appropriate modeling techniques; Loss forecasting models, including Probability of Default (PD), Exposure at Default (EAD), or Loss Given Default (LGD); Econometrics models including time series; Credit risk models; Machine learning models; Statistical analysis including inference analysis, simulation, sampling, and hypothesis testing; and, Programming in SAS, Python, and R.

How to Apply:

Email resume to AMCBImmigration@td.com. Ref TD- 8700002.