Overview
On Site
Compensation information provided in the description
Full Time
Skills
Forecasting
Financial planning
Stress testing
Credit cards
Mortgage
Documentation
FOCUS
Risk management
Auditing
Data manipulation
Data Analysis
SAS
R
Python
Logistic regression
Linear regression
Survival analysis
Time series
Decision trees
Cluster analysis
Markov chain
Machine Learning (ML)
Statistics
Mathematics
Economics
Finance
Banking
Analytics
Modeling
Fraud
AML
Job Details
Piper Companies is seeking a Data Scientist to join one of the nation's largest premier credit unions based in Mclean, VA . The Data Scientist's primary responsibility will be CECL modeling to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning. This position will be hybrid in Mclean, VA!
Responsibilities of the Data Scientist include:
Qualifications for the Data Scientist include:
Compensation for the Data Scientist include:
Responsibilities of the Data Scientist include:
- Implement models for loan loss allowance, CECL, stress testing, new volume origination, line of credit utilization, and prepayment models for all products, including credit card, personal loan, student loan, auto loan, mortgage, and commercial loan.
- Maintaining documentation for key processes and model components across the team with a focus on standardization of processes that satisfy model risk management, audit, and regulatory requirements.
- Implement vendor-developed models for consumer and commercial credit loss or prepayment.
- Monitor performance of quantitative models and support independent model validation efforts in accordance with the model risk management policy.
- Establish and document model implementation controls that satisfy model risk management, audit, and regulatory requirements.
Qualifications for the Data Scientist include:
- 2+ years of experience in quantitative modeling, development, or implementation.
- Working experience in data manipulation and advanced data analysis.
- Experience with SAS, R, Python, and proficiency working with large datasets is required.
- Must have extensive experience with Logistic Regression, Linear Regression, Survival Analysis, Time Series Analysis, Decision Trees, Cluster Analysis, Markov Chain, Machine Learning
- Must have a Masters Degree in a Quantitative Field: Statistics, Mathematics, Economics, Finance, Analytics, etc,
- Banking analytics/modeling experience is preferred: CCAR/CCEL Modeling , Fraud Detection, AML
Compensation for the Data Scientist include:
- Hourly Pay: $70 - $73/hr -- Salary Range: $140,000-$150,000
- Full benefits: PTO, Paid Holidays, Cigna Healthcare, Dental, Vision, 401k with ADPTS
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