Statistical Modeler II
This is a hybrid position with a requirement of two days onsite in the Newark, Delaware office.
What You'll Contribute
This position requires in depth knowledge of advanced statistical, mathematical, risk, and behavior modeling theories and techniques and coding languages such as SAS, SQL, R, and Python. Responsibilities will include model development, design, testing, implementation, validation and other ad-hoc analytics for optimal business decision making, risk assessment, execution, and management, and financial evaluation in the company core modeling space. The successful candidate should have sound statistical understanding and solid quantitative training in the related statistics, econometrics, data mining and machine learning fields. The candidate should possess high level quantitative modeling skillsets, such as but not limited to linear regression, logistic regression, GBM, time series, survival analysis, cluster analysis. The candidate will be expected to build robust statistical models end-to-end in accordance with industry standard practice and company policy within the internal and external regulatory compliance framework. All aspects of model development will be expected such as: pulling development data, model design, model back testing, model documentation and model validation. Candidate will be expected to put together detailed presentations giving an overview of any model built to explain model results and business insights and recommendations to senior management. A good team-player and communicator to be able to collaborate effectively and efficiently.
What You'll Do
- Model Development and Documentation
- Develops statistical and machine learning models for application in credit, response, behavior, and collection areas using techniques such as OLS, Logistic Regression, Decision Tree, Cluster Models, time series, etc.
- Documents model in accordance with Model Risk Management Policies and Procedures
- Works with internal and external parties to have model validated and approved by the Model Risk management committee
- Presents model results to senior management and appropriate committees
- Performs on-going model monitoring and model testing and update the developed model as required
- Model Validation
- Performs model validations for other internally built models
- Write ups detailed validation reports which show the effective challenge of model design and theory used
- Presents findings of validations to senior management
- Ad Hoc Analysis
- Responds to requests for data and analytics needed by senior management team
- Develops presentations and analysis for the support of operational changes, board of director updates and external groups
- Analyzes portfolio performance
The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.
What You Have
Minimum Education, Skills and Experience Required
- Master’s degree in a quantitative field such as statistics, economics or mathematics.
- 4-5 years of financial services environment working experiences with focusing on data manipulation and data analysis using SQL, SAS, R or comparable coding language.
- 2 years of model development experiences in financial services industry
- In depth knowledge of statistical models and data mining technique
- Excellent verbal, written and presentation communication skills
- Strong oral and written communication skills required to effectively and concisely present key findings to senior management
- Strong working knowledge in presenting quantitative data via PowerPoint, Excel, Word, etc.
- Demonstrated ability to effectively manage multiple priorities in a fast-paced, time sensitive environment
- Solid knowledge of financial services industry and the products and services offered
- Ability to consistently meet expected deadlines
- Excellent written and verbal communication skills
- Ability to simultaneously manage and organize multiple projects
- Ability to recognize/analyze/resolve system and procedural problems
- Ability to lead and coordinate activities of a project group
- Ability to perform well under pressure and to work independently with high levels of initiative
- Excellent organizational skills
Preferred Education, Skills and Experience
- PhD
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