Credit Saison - Risk Analyst - SQL/R/Python

Key Responsibilities :

- Collaborate and coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics.

- Execute deep & complex quantitative analyses that translate data into actionable insights

- Should have a good understanding of various unsecured credit products

- The ability to clearly and effectively articulate and communicate the results of complex analyses

- Create a deep-level understanding of the various data sources (Traditional as well as alternative) and optimum use of the same in underwriting.

- Work with the Data Science team to effectively provide inputs on the key model variables and optimize the cut-off for various risk models

- Helps to develop credit strategies/monitoring framework across the customer lifecycle (acquisitions, management, fraud, collections, etc.)

- Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles that are delinquent or working well.

Basic Qualifications :

- Bachelors or Master's degree in, Statistics, Economics, Computer Science, or other Engineering disciplines.

- 2+ years of experience working in Data science/Risk Analytics/Risk Management with experience in building models/Risk strategies or generating risk insights

- Proficiency in SQL and other analytical tools/scripting languages such as Python or R is a must

- Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions

- Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.

Good to have:

- Exposure to the Fintech industry, preferably digital lending background

- Exposure to visualization techniques & tools