Senior Statistical Modeling Analyst

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Design, enhance, and calibrate statistical models for credit decision scorecards, loss forecasting, reserving, and economic capital.

• Create Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.

• Assist in the documentation and implementation of statistical models.

• Investigate and utilize statistical techniques and model improvements to boost accuracy.

• Collaborate with business stakeholders and product management to interpret model outcomes and evaluate statistical methods.

• Utilize advanced analytical tools to optimize risk-return trade-offs.

• Engage in annual model evaluations and performance assessments.

• Oversee data requests and system testing.

• Collect and assess data reliability and usability while applying data treatment techniques.

• Partner with senior team members throughout the advanced credit risk model development lifecycle.

• Join statistical model development meetings.

• Provide regular reports on modeling outcomes and the effects of lending, servicing, collections, loss mitigation, and asset liquidation strategies.

• Analyze and convey model outputs while keeping abreast of loan portfolio trends and composition.

• Leverage data warehouse information and model outcomes to support credit risk management strategies.

• Identify opportunities for efficiency and effectiveness, including reporting needs.

• Develop and maintain statistical modeling and change control documentation.

• Perform additional duties as assigned.

⛳️ Requirements

• A Master’s degree or its foreign equivalent in a quantitative field such as statistics, mathematics, finance, or economics is required.

• Completion of coursework in statistics at the bachelor’s, master’s, or PhD level is required.

• A minimum of 3 years of relevant experience in statistical modeling is required.

• Experience in credit risk modeling for real estate secured loan products, auto loans, credit cards, or commercial loans is required.

• Familiarity with statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis, and time series methodologies is required.

• Experience in developing and validating Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (LGD) models is required.

• Understanding of artificial intelligence (AI) and machine learning (ML) tools is preferred.

• Proficiency in three or more of SAS, Python, SQL, and R is required.

• Strong analytical and problem-solving abilities are essential.

• Capability to engage with management at all levels and collaborate with other risk and model management personnel is necessary.

• Ability to analyze and reconcile large data sets for management decision-making is required.

• Preferred experience in statistical modeling for capital planning and stress testing.

• Preferred experience with CCAR, DFAST, and the Basel Regulatory Capital Framework.

• Preferred experience with logistic regression, multivariate analysis, and Monte Carlo modeling techniques.

• Preferred experience in communicating complex statistical insights and their implications to Credit Union strategy and value creation.

🏝️ Benefits

• 401(k) Company Match (up to 3%).

• 4% annual contribution to your 401(k) by BECU.

• Medical, Dental, and Vision coverage (including family contributions).

• PTO Program + Exchange Program.

• Tuition Reimbursement Program.

• BECU Cares volunteer time off + donation matching.

• Performance-based compensation incentives.