{"schemaVersion":"jobsearcher.job.v1","id":"73ea20e9e89e1dea6478ea3a","url":"https://jobsearcher.com/jobs/73ea20e9e89e1dea6478ea3a","canonicalUrl":"https://jobsearcher.com/jobs/73ea20e9e89e1dea6478ea3a","title":"Sr Statistical Modeling Analyst","description":"Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference. While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU. You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.\nPAY RANGE The Target Pay Range for this position is $128,900.00-$157,500.00 annually. The full Pay Range is $99,900.00 - $186,400.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.\nBENEFITS – because people helping people starts with supporting you 401(k) Company Match (up to 3%)\n4% annual contribution to your 401(k) by BECU\nMedical, Dental and Vision (family contributions as well)\nPTO Program + Exchange Program\nTuition Reimbursement Program\nBECU Cares volunteer time off + donation match\nSUMMARY The Sr Statistical Modeling Analyst is responsible for the development and management of statistically derived credit risk modeling used by the credit union for loan or deposit originations, account management, collections, loan loss forecasting, capital plans and stress testing. The Sr Statistical Modeling Analyst will manage statistical model development and implementation independently and through collaboration with stakeholders throughout the credit union.\nRESPONSIBILITIES Develop, re-develop, and calibrate statistical models using statistical analytical packages; including but not limited to: Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases.\nSupport documentation and execution of statistical models under the direction of senior level peers and leadership.\nResearch and apply enhancements to existing suite of models to improve accuracy, partnering with senior level peers and leadership.\nResearch statistical methods and apply enhancements to existing suite of models to improve accuracy.\nScope includes Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and loan loss forecast models.\nCollaborate with business partners and product management to help interpret model results and assess the appropriateness of statistical methods and models for addressing business questions and generating actionable insights.\nProvide value-added solutions for the enhancement of risk-return trade-off through the application of advanced analytical packages.\nParticipate in annual model reviews and performance testing.\nManage the data request and systems testing process.\nGather and evaluate data for reliability and usability and research and apply data treatment methods.\nWork with senior members of the team on all aspects of the advanced credit risk models development life cycle.\nParticipate in team meetings related to statistical model development.\nDeliver regular reports of modeling results to include impacts of originations, servicing, collection, loss mitigation and asset liquidation strategies and performance.\nMaintain a thorough knowledge relating to loan portfolio trends and composition, while analyzing and presenting model outputs.\nUtilize data warehouse information, along with model results, to assist in the development of credit risk management credit risk strategies.\nIdentify opportunities for efficiency and effectiveness, including reporting requirements.\nDevelop and maintain statistical modeling documentation and change control documentation.\nPerform other duties as assigned.\nQUALIFICATIONS Master’s degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics required.\nCoursework in statistics at either the bachelor’s, master’s or PhD level required.\nMinimum 3 years of functional experience in statistical modeling required including credit risk modeling experience in one or more of the following product areas: real estate secured loan products (mortgage, home equity), auto, credit card or commercial loan products.\nSound knowledge of statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis and time series methodologies, with experience developing and validating Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD) models required.\nKnowledge of artificial intelligence (AI) and machine learning (ML) tools required.\nKnowledge of three or more of the following statistical analytical packages required: SAS, Python, SQL and R.\nExperience with statistical modeling for capital planning and stress testing preferred.\nExperience with Comprehensive Capital Analysis Review (CCAR), Dodd-Frank Act Stress Testing (DFAST) and Basel Regulatory Capital Framework preferred.Experience with modelling techniques including logistic regression, multivariate analysis, and Monte Carlo preferred.\nExcellent analytical and problem-solving skills required.\nExperience in verbal and written communication of complex statistical insights and implications to Credit Union strategy and value creation preferred.\nAbility to interact with management officials at all levels, as well as other risk and model management personnel throughout the Credit Union required.\nAbility to analyze and reconcile large volume of data so that it can be summarized and eventually used for management decisions required.\nEEO Statement: BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.\nFrom our very beginning, BECU has been about people helping people. As a financial services cooperative, our purpose has and always will be the same: we work together to best serve our members and improve the financial well‑being of our community. With 90 years and over one million members later, we're still rooted in our values, practices and mission - and even more passionate about our future. As one of the nation's leading credit unions, we're not driven by profit. We're owned by our members and their interests are at the core of everything we do. Now we're growing faster than ever before--but we'll never forget our roots. To continue doing right by our members, we believe we must first do right by our people. Here, you'll receive the resources and support you need to learn, grow and build a meaningful career. Because we know it's our people who make us special.\n\n#J-18808-Ljbffr","company":"BECU","rawCompany":"becu","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:04:27.701Z","occupations":[{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2041.01","title":"Biostatisticians","slug":"biostatisticians"},{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"}],"industries":[{"code":"522130","title":"Credit Unions","slug":"credit-unions"},{"code":"522180","title":"Savings Institutions and Other Depository Credit Intermediation","slug":"savings-institutions-and-other-depository-credit-intermediation"},{"code":"522291","title":"Consumer Lending","slug":"consumer-lending"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Statistical Modeling Analyst","description":"Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference. While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU. You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.\nPAY RANGE The Target Pay Range for this position is $128,900.00-$157,500.00 annually. The full Pay Range is $99,900.00 - $186,400.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.\nBENEFITS – because people helping people starts with supporting you 401(k) Company Match (up to 3%)\n4% annual contribution to your 401(k) by BECU\nMedical, Dental and Vision (family contributions as well)\nPTO Program + Exchange Program\nTuition Reimbursement Program\nBECU Cares volunteer time off + donation match\nSUMMARY The Sr Statistical Modeling Analyst is responsible for the development and management of statistically derived credit risk modeling used by the credit union for loan or deposit originations, account management, collections, loan loss forecasting, capital plans and stress testing. The Sr Statistical Modeling Analyst will manage statistical model development and implementation independently and through collaboration with stakeholders throughout the credit union.\nRESPONSIBILITIES Develop, re-develop, and calibrate statistical models using statistical analytical packages; including but not limited to: Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases.\nSupport documentation and execution of statistical models under the direction of senior level peers and leadership.\nResearch and apply enhancements to existing suite of models to improve accuracy, partnering with senior level peers and leadership.\nResearch statistical methods and apply enhancements to existing suite of models to improve accuracy.\nScope includes Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and loan loss forecast models.\nCollaborate with business partners and product management to help interpret model results and assess the appropriateness of statistical methods and models for addressing business questions and generating actionable insights.\nProvide value-added solutions for the enhancement of risk-return trade-off through the application of advanced analytical packages.\nParticipate in annual model reviews and performance testing.\nManage the data request and systems testing process.\nGather and evaluate data for reliability and usability and research and apply data treatment methods.\nWork with senior members of the team on all aspects of the advanced credit risk models development life cycle.\nParticipate in team meetings related to statistical model development.\nDeliver regular reports of modeling results to include impacts of originations, servicing, collection, loss mitigation and asset liquidation strategies and performance.\nMaintain a thorough knowledge relating to loan portfolio trends and composition, while analyzing and presenting model outputs.\nUtilize data warehouse information, along with model results, to assist in the development of credit risk management credit risk strategies.\nIdentify opportunities for efficiency and effectiveness, including reporting requirements.\nDevelop and maintain statistical modeling documentation and change control documentation.\nPerform other duties as assigned.\nQUALIFICATIONS Master’s degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics required.\nCoursework in statistics at either the bachelor’s, master’s or PhD level required.\nMinimum 3 years of functional experience in statistical modeling required including credit risk modeling experience in one or more of the following product areas: real estate secured loan products (mortgage, home equity), auto, credit card or commercial loan products.\nSound knowledge of statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis and time series methodologies, with experience developing and validating Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD) models required.\nKnowledge of artificial intelligence (AI) and machine learning (ML) tools required.\nKnowledge of three or more of the following statistical analytical packages required: SAS, Python, SQL and R.\nExperience with statistical modeling for capital planning and stress testing preferred.\nExperience with Comprehensive Capital Analysis Review (CCAR), Dodd-Frank Act Stress Testing (DFAST) and Basel Regulatory Capital Framework preferred.Experience with modelling techniques including logistic regression, multivariate analysis, and Monte Carlo preferred.\nExcellent analytical and problem-solving skills required.\nExperience in verbal and written communication of complex statistical insights and implications to Credit Union strategy and value creation preferred.\nAbility to interact with management officials at all levels, as well as other risk and model management personnel throughout the Credit Union required.\nAbility to analyze and reconcile large volume of data so that it can be summarized and eventually used for management decisions required.\nEEO Statement: BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.\nFrom our very beginning, BECU has been about people helping people. As a financial services cooperative, our purpose has and always will be the same: we work together to best serve our members and improve the financial well‑being of our community. With 90 years and over one million members later, we're still rooted in our values, practices and mission - and even more passionate about our future. As one of the nation's leading credit unions, we're not driven by profit. We're owned by our members and their interests are at the core of everything we do. Now we're growing faster than ever before--but we'll never forget our roots. To continue doing right by our members, we believe we must first do right by our people. Here, you'll receive the resources and support you need to learn, grow and build a meaningful career. Because we know it's our people who make us special.\n\n#J-18808-Ljbffr","datePosted":"2026-08-25T04:04:27.701Z","dateModified":"2026-08-25T04:04:27.701Z","hiringOrganization":{"@type":"Organization","name":"BECU","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"73ea20e9e89e1dea6478ea3a"},"url":"https://jobsearcher.com/jobs/73ea20e9e89e1dea6478ea3a"}}