Overview
This role is responsible for the development and management of statistically derived credit risk modeling used for loan and deposit originations, account management, collections, loan loss forecasting, capital plans, and stress testing. The Sr Statistical Modeling Analyst manages model development and implementation independently and in collaboration with stakeholders across the credit union.
Pay Range
- Target Pay Range: $128,900.00–$157,500.00 annually
- Full Pay Range: $99,900.00–$186,400.00 annually
Compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, individual qualifications will be considered. In addition to salary, compensation incentives are available; incentives are performance based and targets vary by role.
Responsibilities
- Develop, re-develop, and calibrate statistical models using statistical analytical packages, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecards, loss forecasting, reserving, and economic capital use cases.
- Support documentation and execution of statistical models under the direction of senior-level peers and leadership.
- Research and apply enhancements to an existing suite of models to improve accuracy, partnering with senior-level peers and leadership. Scope includes PD, LGD, EAD, and loan loss forecast models.
- Collaborate with business partners and product management to interpret model results and assess the appropriateness of statistical methods and models for business questions and actionable insights.
- Provide value-added solutions to improve the risk-return trade-off through advanced analytical packages.
- Participate in annual model reviews and performance testing.
- Manage the data request and systems testing process: gather and evaluate data for reliability and usability, and research and apply data treatment methods.
- Work with senior team members across the advanced credit risk models development lifecycle.
- Participate in team meetings related to statistical model development.
- Deliver regular reports of modeling results, including impacts of originations, servicing, collection, loss mitigation, and asset liquidation strategies and performance.
- Maintain knowledge of loan portfolio trends and composition while analyzing and presenting model outputs.
- Use data warehouse information and model results to support credit risk management credit risk strategies.
- Identify opportunities for efficiency and effectiveness, including reporting requirements.
- Develop and maintain statistical modeling documentation 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, including credit risk modeling experience in one or more product areas: real estate secured loan products (mortgage, home equity), auto, credit card, or commercial loan products.
- Sound knowledge of statistical modeling concepts, including logistic regression, survival analysis, Markov chain analysis, and time series methodologies; experience developing and validating PD, EAD, and LGD models required.
- Knowledge of artificial intelligence (AI) and machine learning (ML) tools required.
- Knowledge of three or more of the following statistical analytical packages required: SAS, Python, SQL, R.
- Ability to analyze and reconcile large volumes of data so it can be summarized and used for management decisions required.
- Ability to interact with management officials at all levels and other risk and model management personnel throughout the credit union required.
- Excellent analytical and problem-solving skills required.
- Verbal and written communication of complex statistical insights and implications to credit union strategy and value creation preferred.
Preferred Qualifications
- Experience with statistical modeling for capital planning and stress testing.
- Experience with Comprehensive Capital Analysis Review (CCAR), Dodd-Frank Act Stress Testing (DFAST), and Basel Regulatory Capital Framework.
- Experience with modeling techniques including logistic regression, multivariate analysis, and Monte Carlo.
- Experience communicating complex statistical insights and implications to credit union strategy and value creation.
Compensation & Benefits
In addition to the salary range described above, incentives may be available for the hired applicant. Incentives are performance based and targets vary by role.
Benefits include:
- 401(k) company match (up to 3%)
- 4% annual contribution to your 401(k)
- Medical, Dental, and Vision (family contributions as well)
- PTO Program + Exchange Program
- Tuition Reimbursement Program
- Volunteer time off and donation match through BECU Cares
EEO Statement
The organization 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.