Senior Credit & Risk Modeler — ML, Time Series

Credit One Bank; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Job summary

Credit One Bank, a Las Vegas-based data-driven financial services company, seeks a Senior Modeler for Advanced Analytics. You will lead statistical modeling projects across the credit risk life cycle, leveraging SAS, Python, and time-series methods to inform strategy and decisioning.

Strong communication and collaboration with risk partners are essential. 5+ years in modeling and 3+ years in banking/finance are required, along with a STEM or related degree and proficiency in MS Office.

Qualifications

• 5+ years of experience in modeling.
• 3+ years of experience in Banking & Finance industry.
• Bachelor’s degree in Finance, Economics, or a STEM related field.
• Extensive experience in statistical software package, e.g. SAS, Python.
• Fluid and fluent in Microsoft Office Suite (Word, Excel, PowerPoint, etc.).
• Demonstrate company core values of excellence, ownership, collaboration, and integrity.

Responsibilities

• Apply expertise on statistical analysis, with direct professional experience building models using methodologies such as decision tree, regression and machine learning
• Tell a story through data and present ideas effectively to stakeholders
• Convey technical concepts to non-technical audiences using graphs and visuals
• Pull and assemble data with relational database techniques
• Monitor performance of existing tools and trigger redevelopment as needed
• Document technical solutions for business continuity and regulatory audiences
• Interact with Marketing, Ops, IT and other Risk teams
• Perform other duties as assigned

Skills

Statistical modeling

Data storytelling

Communication

Problem solving

Relational databases

Education

Bachelor's degree in Finance, Economics, or STEM

Tools

SAS

Python

Tableau

Excel

SAS Enterprise Miner

H2O

Job description

Credit One Bank, a Las Vegas-based data-driven financial services company, seeks a Senior Modeler for Advanced Analytics. You will lead statistical modeling projects across the credit risk life cycle, leveraging SAS, Python, and time-series methods to inform strategy and decisioning.

Strong communication and collaboration with risk partners are essential. 5+ years in modeling and 3+ years in banking/finance are required, along with a STEM or related degree and proficiency in MS Office.