AVP - Credit Forecasting and Analytics
- Credit Forecasting Analytics
- Develop short term loss forecasting across loss types for company's portfolio of loans across multiple retailer segments and products
- Develop detailed delinquency and loss reporting for multiple segments across all loss types (contractual aged, bankruptcy, deceased, debt cancelation etc.)
- Assist in producing credit inputs to complex modeling processes
- Collaborate with Collections and Portfolio teams to incorporate performance dynamics, as well as other business changes within the overall forecast
- Assist the Loss forecast process owner, with tasks related to process governance
- Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning Fraud Forecasting Analytics
- Develop long term fraud loss forecasting across types for company's portfolio of loans across multiple retailer segments and products
- Utilize long term forecasting model outputs, along with performance dynamics and fraud mitigation strategies Team Management
- Managed a direct team, with a focus on prioritizing deliverables / timelines, upskilling talent to latest techniques and technologies
- Collaborate with US teams - Credit Forecasting, Reserves, and Fraud Forecasting
- Perform special projects as assigned
Qualifications / Requirements:
- 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 bachelor's 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
- Proven hands-on experience utilizing SAS or SQL.
- 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
Shift Timings : 2 PM IST to 11 PM IST
Desired Qualifications :
- Good to have experience with open-source tools such as Python, PySpark, R to extract, process and analyze data
- 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 deliverable
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