Overview
This role develops and manages statistically derived credit risk modeling used for loan or deposit originations, account management, collections, loan loss forecasting, capital plans, and stress testing. The Senior Statistical Modeling Analyst will manage statistical model development and implementation independently and in collaboration with stakeholders across the organization.
Responsibilities
- Develop, redevelop, 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 peers and leadership.
- Research and apply enhancements to improve the accuracy of existing model suites, covering 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 for business questions and actionable insights.
- 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 researching and applying data treatment methods.
- Work with senior team members across 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 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.
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 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 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 analyze and reconcile large volume of data so it can be summarized and used for management decisions required.
- 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 organization 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 modelling techniques including logistic regression, multivariate analysis, and Monte Carlo.
- Experience communicating complex statistical insights and implications to the organization’s 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. Should an offer for employment be made, individual qualifications will be considered.
In addition to salary, compensation incentives may be 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 + 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.