Blue Chip Talent is an award-winning, woman-owned staffing company that works hard to “Advance Careers Daily”.

We pride ourselves on building lasting relationships. We do this through our unique ongoing touchpoint program, personalized orientation, bi-yearly appreciation lunches, company-sponsored charitable events, and our flagship family Woodward Dream Cruise event.

We also offer industry-leading benefit options:

· Four (4) healthcare plans to choose from

· PTO & Paid Holidays

· Dental & Vision insurance

· Company-paid life insurance

· Long and short-term disability

· 401k with yearly arbitrary match

· Pet insurance

You can count on Blue Chip Talent to be your reliable career coach and advocate. We look forward to connecting with you and guiding you on your career goals.

Blue Chip Talent will not be sponsoring visas or accepting C2C for this position at this time.

Blue Chip Talent is an Equal Opportunity Employer (EOE) that values merit-based recruitment centered around technical ability, skillset, and personality/cultural fit with our employing partners.

What you'll be doing:

Perform in-depth data quantitative analysis (e.g., machine learning, advanced analytics, text mining, pattern recognition) from multiple data sources using a variety of tools; analyze various data systems and data sets to discover new insights; apply findings to develop new risk-based collection and recovery strategies
Data extraction, cleaning, and validation for ad hoc analyses, reporting, and model development
Provide data-centric consulting to internal customers in order to guide strategic business decisions
Test, implement, and document internally developed machine learning models, while adhering to DFS policies, procedures, and processes
Internally developing, testing, implementing, and documenting new collection and/or recovery scoring models, and generating quarterly monitoring reports

What you'll need:

Technical finance or analytical/statistical background and awareness of risk management and automotive financial services concepts
Experience in database design with expert knowledge of SQL (SAS or similar programming language preferred) and MS Office
Experience in the use of Python and machine-learning techniques applied to risk modeling is a plus

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