Overview
The organization is seeking a Sr Statistical Modeling Analyst responsible for developing and managing statistically derived credit risk modeling used for loan and deposit originations, account management, collections, loan loss forecasting, capital plans, and stress testing. The role will manage statistical model development and implementation independently and in collaboration with stakeholders across the credit union.
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), and Exposure at Default (EAD) models for:
- credit decision scorecards
- loss forecasting
- reserving
- 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 the existing suite of models to improve accuracy, partnering with senior level peers and leadership. Model 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 generating actionable insights.
- Apply advanced analytical packages to provide value-added solutions for enhancing the risk-return trade-off.
- 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 all phases 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 to originations, servicing, collection, loss mitigation, and asset liquidation strategies and performance.
- Maintain a thorough knowledge of loan portfolio trends and composition while analyzing and presenting model outputs.
- Use 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.
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 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
- 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.
- Excellent analytical and problem-solving skills required.
- Ability to interact with management officials at all levels, as well as other risk and model management personnel throughout the credit union 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 in verbal and written communication of complex statistical insights and implications to credit union strategy and value creation
Compensation & Benefits
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.
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 and donation match
Equal Employment Opportunity
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.