
AVP, Credit Forecasting and Analytics
8 hours ago
Job Role: AVP, Credit Forecasting & Analytics
Experience: 6-13 Years
Work Mode :WFH
Notice Period : Immediate to 60
Job Description:
Required Skills/Knowledge:
- Bachelor's degree with quantitative underpinning (i.e., Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience Or In lieu of a bachelors degree we need 7+ years of experience in Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience.
- 3+ years of experience in performing performance analysis on large and diverse consumer credit portfolios, including experience with data visualization tools to create and communicate intuitive visualizations and presentations of in-depth analysis to audiences of varying subject-matter knowledge, experience, and seniority
- Knowledge of regulatory expectation about Model Risk Management (SR 11-7)
- Proven hands-on experience utilizing Python/PySpark and AWS
- Proven hands-on experience utilizing SAS
- Strong problem-solving, analytical and automation skills.
- Strong understanding of controls, governance, and regulatory requirements in risk models.
- Advanced Excel skills with demonstrable familiarity with data processing/report building/analysis techniques.
- Strong PowerPoint skills, including ability to create understandable presentations that incorporate graphs or other visual aides to portray complex subjects.
Desired Skills/Knowledge:
- Good overall understanding of consumer credit lending that stretches across revenue and loss line items, with a focus on revolving products (Credit Cards preferred)
- Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail
- Experience with processes that have significant financial impacts and stretch across multiple teams or functions
- Strong written and verbal communication skills, to independently present explanations of complex subjects
- Managing a team of business analysts / data practitioners
- Positive mindset under tight timelines / critical deliverables
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