Overview
The organization is seeking a Sr Statistical Modeling Analyst responsible for the development and management of statistically derived credit risk modeling used for loan or deposit originations, account management, collections, loan loss forecasting, capital plans, and stress testing.
This role involves managing statistical model development and implementation both 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 determined using 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.
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
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)
- Models used for credit decision scorecards, loss forecasting, reserving, and economic capital use cases
- Support documentation and execution of statistical models under the direction of senior peers and leadership
- Research and apply enhancements to the existing suite of models to improve accuracy, including 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 enhance 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, including gathering and evaluating data for reliability and usability and applying data treatment methods
- Work with senior team members on all aspects of the advanced credit risk models 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, and asset liquidation strategies and performance
- Maintain thorough knowledge of loan portfolio trends and composition while analyzing and presenting model outputs
- Utilize data warehouse information and model results to support development of 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, R
- Excellent analytical and problem-solving skills required
- Ability to interact with management officials at all levels and other risk and model management personnel throughout the organization required
- Ability to analyze and reconcile large volume of data so 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 in verbal and written form to support credit union strategy and value creation
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.