Reference #: 243f5ea2-e13e-415e-92df-869fbe87e5c0Description

　　Job SummaryThe Senior Quantitative Analyst I is responsible for contributing to and managing large projects related to the support, development, and maintenance of complex financial models used throughout the loan and deposit product lifecycle.  These models could be rules-based or developed with more advanced statistical, mathematical, econometric, machine learning, or artificial intelligence techniques.  This position is also responsible for developing quantitative tools used in the areas of pricing, profitability, and product strategy.Essential FunctionsDesign, Develop, Implement, Maintain, and Execute complex financial models used for loss forecasting, scenario and stress testing, originations & collections, pricing, and portfolio optimization for retail, consumer, and commercial assetsAct as an individual contributor and leader of working groupsUse Python or R for data consumption, aggregation, analysis, and model developmentUtilize Power BI to develop portfolio analytics and communicate with the line-of-business and operations partnersUtilize Microsoft Office products for analysis, documentation, and presentationCommunicate with line-of-business and operations partners to identify needs and develop requirementsWork with Model Owners to engage with and satisfy independent reviewers, auditors, validators, and regulatorsParticipate in the research, design, and implementation of new financial products and portfolio strategiesEvaluate model output, summarize, and articulate results to stakeholders and senior managementDevelop data environment to support needs of all quantitative activitiesReview academic and industry research, present summaries to partners and senior leadership, and suggest practical applicationsEnsure compliance with Northwest's policies and procedures, and Federal/State regulationsNavigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiencyWork as part of a teamWork with on-site equipmentRecommend improvements to proceduresMinimize departmental non payroll costsRecommend customer service enhancementsEducation + ExperienceBachelor's degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline requiredMaster's degree in a field related to physics, mathematics, statistics, economics, or other quantitative discipline required5-6 years of Work experience in a Financial Institution or Consulting Organization requiredExperience programming in Python or R requiredExperience programming in SQL, SAS, Java, C+, C++, or Julia preferred3-5 years of experience in a Financial Institution or Consulting Organization may be relaxed if the candidate has extensive subject matter expertise in the areas of Operational Risk, Market Risk, Machine Learning, Artificial Intelligence, Stress Testing, or 3rd Party Vendor ModelsLocationOnsite in Pittsburgh, PA#LI-EK1

　　The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

　　Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities