Overview
On Site
$$46 per hour
Contract - W2
Contract - 6 month(s)
Skills
SQL
SAS
risk reporting
quantative analysis
Job Details
Job Summary (List Format):
- W2 role only (no C2C or sponsorship); must be local and able to work hybrid (4 days in-office)
- Minimum 3+ years of experience in risk management required
- Advanced skills in SAS and/or SQL required (3+ years); exposure to Python for risk modeling is a plus
- Strong experience in defining/extracting data elements using SQL or SAS, and building/testing ML models (3+ years)
- Experience in risk reporting and quantitative analytics
- Technical finance or analytical/statistical background, with knowledge of risk management and automotive financial services concepts
- Experience in database design, expert-level SQL, and proficiency in MS Office
- Strong written and verbal communication skills; able to interact with stakeholders at all levels
- Experience with cross-departmental projects and credit decision engines is highly desirable
- Responsible for developing, implementing, and monitoring statistical/analytical tools for acquisitions and collections processes
- Conduct in-depth quantitative data analysis using machine learning/advanced analytics techniques
- Extract, clean, and validate data for ad hoc analyses, reporting, and model development
- Provide data-centric consulting and strategic business guidance to internal customers
- Develop, test, implement, and document machine learning models in compliance with company policies
- Collaborate with external vendors to test and implement new scoring models and products
- Generate quarterly monitoring reports and ensure thorough documentation of models and methodologies
- Stay updated and develop expertise in emerging analytics techniques, tools, and methodologies
- W2 role only (no C2C or sponsorship); must be local and able to work hybrid (4 days in-office)
- Minimum 3+ years of experience in risk management required
- Advanced skills in SAS and/or SQL required (3+ years); exposure to Python for risk modeling is a plus
- Strong experience in defining/extracting data elements using SQL or SAS, and building/testing ML models (3+ years)
- Experience in risk reporting and quantitative analytics
- Technical finance or analytical/statistical background, with knowledge of risk management and automotive financial services concepts
- Experience in database design, expert-level SQL, and proficiency in MS Office
- Strong written and verbal communication skills; able to interact with stakeholders at all levels
- Experience with cross-departmental projects and credit decision engines is highly desirable
- Responsible for developing, implementing, and monitoring statistical/analytical tools for acquisitions and collections processes
- Conduct in-depth quantitative data analysis using machine learning/advanced analytics techniques
- Extract, clean, and validate data for ad hoc analyses, reporting, and model development
- Provide data-centric consulting and strategic business guidance to internal customers
- Develop, test, implement, and document machine learning models in compliance with company policies
- Collaborate with external vendors to test and implement new scoring models and products
- Generate quarterly monitoring reports and ensure thorough documentation of models and methodologies
- Stay updated and develop expertise in emerging analytics techniques, tools, and methodologies
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