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Credit Strategy Analytics Role - Data Analytics (4-8 yrs)
Live Connections
posted 12hr ago
Credit Strategy Analytics
Job Description:
- Through data analytics, supports enterprise-wide projects with a primary focus on the One Acquisition initiative for Credit Acquisitions Program Pillar (retail lending).
- Develop portfolio, product, channel and client level map-over strategies, focused on approval rates, delinquency performance rates and or sales for our clients, dealers and providers based on the requirement.
- Assist as a data liaison for third party vendors involving retail credit acquisition pillar tools supporting the One Acquisition Program.
- Perform pre-implementation strategies and model testing validations and ensure sound strategy governance is executed.
- Ensure execution of retail credit acquisition strategies with post release implementation validation and strategy monitoring.
- Perform ad-hoc analytics as required, delivering results in a timely manner.
- Excellent communication skills in presenting finding, updates and results to senior management.
- Work cross-functionally and collaborate on projects across the organization in a fast paced environment.
- Perform other duties and/or special projects as assigned.
- Work on multiple projects simultaneously. Manage projects independently.
Required Skills/Knowledge:
- Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) with 4+ years of experience in analytic skills and experience in analyzing data utilizing SAS/SQL/MS tools, analytics ideally in support of Risk, Credit, Consumer Lending, or other relevant professional experience and in lieu of degree 6+ years of experience.
- Minimum 4+ years of work experience with advanced SAS programming - SAS Base / SAS Stats / SAS Macros.
- Experience in managing multiple projects, organize work flow, and prioritize work assignments.
- Experience with model governance processes and model validation.
- Ability to communicate and present at all levels of management; synthesizing complex concepts in a simplified manner; all the while, using tact to build consensus and negotiate business solutions.
Desired Skills/Knowledge:
- Hands on experience in Python/PySpark.
- Natural curiosity and passion to drive change in consumer banking.
- Experience collaborating with teams of internal and external technical staff, business analysts, business and IT project managers and software support staff.
- Excellent interpersonal skills in areas such as teamwork, facilitation and presentation to business users or management teams.
- Experience with Waterfall and Agile project management methods and practices.
- Working knowledge of system platforms/tools including Experian Strategy Manager and FICO Model
- Builder Decision Tree.
Functional Areas: Analytics & Business Intelligence
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