ROLE & RESPONSIBILITIES
Business/ Department Objectives
Enhance and improve the Risk policies using statistical techniques to optimize business growth and profits by minimizing the losses
Core Responsibilities:
- Support tactical and strategic Risk Analytics projects for Citi’s Retail Services Group in the US.
- Independently manage development and implementation of effective risk management strategies that help mitigate credit losses
- Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes
- Apply subject matter expertise to the prioritization and planning of projects in conjunction with risk management policies and strategies.
- Must be able to effectively provide updates and communicate key initiatives to senior risk management.
- Analyzing tests and performance using SAS and decision tree (CHAID/ CART)
- Evaluating effectiveness of current policies and strategies
Day-to-Day Responsibilities:
- Must have capability to clearly develop and communicate analysis
- A good understanding of Credit life cycle andCollections/Recoveries
- Must have hands on expertise in developing and managing segmentation
- Presentations to both technical and non-technical personnel are required to be made frequently as part of the job.
- Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities.
Key Deliverables:
- Provide insight into the data through MIS and deeper analytics
- Summarize analytic reports into presentations and share analyses and reports with senior leadership
QUALIFICATIONS
Required
Education
:
Bachelor’s degree in a quantitative discipline: Mathematics, Economics, Operations Research, And Statistics
Master’s degree in a quantitative discipline: Mathematics, Economics, Operations Research, Statistics is preferred
Experience
:
2+ years of relevant experience
Skills
:
Strong analytical skills in conducting sophisticate analysis using bureau/vendor data, customer performance data and marketing data to solve business problems. Good programming skills in advanced SAS and SQL in mainframe, UNIX and PC environments. Highly proficient in Excel/pivot tables and PowerPoint. Credit card industry experience especially in an analytics or policy role is preferred
Others: