Senior Statistical Modeling Analyst

🕒 August 19

🏄 California, Idaho, +3 more states – Remote

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💵 $128.9k - $157.5k / year

⏰ Full Time

🟠 Senior

🧐 Analyst

🦅 H1B Visa Sponsor

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Logo of BECU

BECU

1001 - 5000 employees

Founded 1935

🛡️ Insurance

📦 Logistics

🏦 Banking

Insurance • Logistics • Banking

BECU is a member-owned, not-for-profit credit union committed to serving the financial needs of its members. As a credit union, BECU offers a range of financial services including everyday banking, loans and mortgages, financial planning, and business banking. Members benefit from competitive rates, low fees, and a focus on financial health and well-being. BECU also provides financial health programs and exclusive member discounts. Originally established as Boeing Employees' Credit Union, BECU is federally insured by the NCUA and promotes an equal housing opportunity.

📋 Description

• Develop, re-develop, and calibrate statistical models for credit decision scorecards, loss forecasting, reserving, and economic capital • Develop Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models • Support documentation and execution of statistical models • Research and apply statistical methods and model enhancements to improve accuracy • Collaborate with business partners and product management to interpret model results and assess statistical methods • Apply advanced analytical packages to enhance risk-return trade-offs • Participate in annual model reviews and performance testing • Manage data requests and systems testing • Gather and evaluate data reliability and usability and apply data treatment methods • Work with senior team members across the advanced credit risk model development life cycle • Participate in statistical model development meetings • Deliver regular reports on modeling results and impacts of lending, servicing, collections, loss mitigation, and asset liquidation strategies • Analyze and present model outputs and maintain knowledge of loan portfolio trends and composition • Use data warehouse information and model results to support credit risk management strategies • Identify efficiency and effectiveness opportunities, including reporting requirements • Develop and maintain statistical modeling and change control documentation • Perform other duties as assigned

🎯 Requirements

• Master’s degree or foreign equivalent in a quantitative discipline such as statistics, math, finance, or economics required • Coursework in statistics at either the bachelor’s, master’s or PhD level required • Minimum 3 years of functional experience in statistical modeling required • Credit risk modeling experience in real estate secured loan products, auto, credit card, or commercial loan products • Knowledge of statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis, and time series methodologies • Experience developing and validating Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD) models • Knowledge of artificial intelligence (AI) and machine learning (ML) tools • Knowledge of three or more of SAS, Python, SQL, and R • Excellent analytical and problem-solving skills • Ability to interact with management officials at all levels and other risk and model management personnel • Ability to analyze and reconcile large volumes of data for management decisions • Experience with statistical modeling for capital planning and stress testing preferred • Experience with CCAR, DFAST, and Basel Regulatory Capital Framework preferred • Experience with logistic regression, multivariate analysis, and Monte Carlo modeling techniques preferred • Experience communicating complex statistical insights and implications to Credit Union strategy and value creation preferred

🏖️ Benefits

• 401(k) Company Match (up to 3%) • 4% annual contribution to your 401(k) by BECU • Medical, Dental and Vision (family contributions as well) • PTO Program + Exchange Program • Tuition Reimbursement Program • BECU Cares volunteer time off + donation match • Performance-based compensation incentives

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