Overview
The organization is seeking a Sr Statistical Modeling Analyst responsible for developing and managing statistically derived credit risk models used for loan or deposit originations, account management, collections, loan loss forecasting, capital plans, and stress testing.
This role manages statistical model development and implementation independently and in collaboration with stakeholders across the organization.
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 based on factors such as relevant job-related skills, experience, and education or training. If an offer is made, individual qualifications will be considered. In addition to salary, compensation incentives are available for the hired applicant; incentives are performance based and targets vary by role.
Responsibilities
- Develop, re-develop, and calibrate statistical models using statistical analytical packages, including but not limited to:
- Probability of Default (PD)
- Loss Given Default (LGD)
- Exposure at Default (EAD)
- Use cases include credit decision scorecards, loss forecasting, reserving, and economic capital
- Support documentation and execution of statistical models under the direction of senior peers and leadership
- Research and apply enhancements to existing model suites to improve accuracy, including scoping enhancements across 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
- Provide value-added solutions to improve risk-return trade-offs using 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
- Research and apply data treatment methods
- Work with senior team members across the advanced credit risk modeling development life cycle
- Participate in team meetings related to statistical model development
- Deliver regular reports of modeling results, including impacts of:
- Originations
- Servicing
- Collections
- Loss mitigation
- Asset liquidation strategies
- Model performance
- Maintain a thorough knowledge of loan portfolio trends and composition, while analyzing and presenting model outputs
- Utilize data warehouse information along with model results to help develop credit risk management 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
Qualifications
- 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 of the following product areas:
- Real estate secured loan products (mortgage, home equity)
- Auto
- Credit card
- 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 Probability of Default (PD), Exposure at Default (EAD), and Loss Given Default (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, and R
- Ability to interact with management officials at all levels, as well as other risk and model management personnel throughout the organization required
- Excellent analytical and problem-solving skills required
- Ability to analyze and reconcile large volume of data so that it can be summarized and used for management decisions required
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 (verbal and written) to inform credit union strategy and value creation
Compensation & Benefits
- 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 + donation match
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.