BA -Risk lending Analytics

Responsibilities

• - Perform diagnostic and predictive analytics to help create a merchant, customer and transactionmonitoring strategy considering, among others, macroeconomic environment, industry and micro- industry concentrations, behavioural patterns, product usage, risk appetite, geography, seasoning,term, credit performance, etc.
• - Design differential evaluation framework for early as well as steady state fraud detection
• - Influence, monitor, and assess impacts to PayU’s merchant portfolio as a result of risk policy, fraud detection, and portfolio monitoring and collections
• - Interface with Product, Data Science, and Operations teams to set joint goals and track operations performance, providing an actionable feedback loop
• - Perform detailed analysis and interpret information to make recommendations to Senior Management on critical gaps and implementation of appropriate controls

Requirements to be successful in this role:

• - A degree in Statistics, Computer Science, Mathematics or other similar quantitative field from a premier institute
• - Should have 2+ year work experience in analytics
• - Good experience in deriving insights and/or building machine learning in R/Python and SQL
• - Should have technical & project execution experience
• - Excellent communication and stakeholder management skills and demonstrated focus for client / customer satisfaction
• - Strong problem-solving skills with the ability to understand and execute complex analysis
• - Detail oriented with strong organizational skills. Ability to function in a high volume setting with tight deadlines
• - High-energy individual with a go-getter instinct and positive attitude.
• - Should be a great teammate who promotes knowledge-sharing