Opportunity For Credit Forecasting & Analytics

Job Role:

Experience: 6-13 Years

Work Mode :WFH

Notice Period : Immediate to 60 days

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