Job Description

About the Role
Commercial Credit Decision Modeling team is seeking a highly motivated individual to support model development, origination strategy, risk reporting, analytics and data management to improve the auto-decision rates for all Commercial Lending portfolios.
Responsibilities:
Work on modeling and data analysis, credit scoring and/ or risk management.
Determining business rules and strategies that maximizes profits and/or asset growth and minimizes credit and/or operating losses and other risk exposures
Coordinating the various activities related to business analysis and modeling
Participate in the development and testing of various analytical models for business unit.
Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards.
Trouble-shoot issues and pro-actively enact solutions in real time.

Essential Skills:
8 years of scorecard development, risk analytics experience, or a combination of both.
Masters in a quantitative field such as Mathematics, Economics, or Statistics
8 years of SAS experience with exposure to Python
8 years of credit risk experience
Experience with Credit Scoring, risk modeling, application scorecard development
Experience in producing high quality technical documentation with tools such as Excel, Word, PowerPoint.
Excellent verbal and written communication skills

Desired Skills:
Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
Good SAS skills in performing complex data manipulation and modeling in SAS and pivot table skills
Exposure to machine learning techniques and model development in Python
Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively.
Familiarity with U.S based Bureau Data
Excellent problem solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner.
Understanding of process, methodologies used in credit scoring model development, implementation, validation and monitoring
Ability to effectively manage multiple assignments with challenging timelines
Experience in statistical modeling techniques
Strong writing skills necessary for the review of highly detailed model documentation and reporting.
Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment
Education: Any Graduate
Industry: Financial Services/Stockbroking, Banking

Skills Required