Associate/Senior Associate

3 weeks ago


Bengaluru, India Shework Full time

Associate / Sr Associate - RiskLocation BangaloreJob Overview:We are looking for a Portfolio Risk Analyst / Credit Strategy Analyst to join our dynamic risk management team. The ideal candidate will be responsible for monitoring and analyzing portfolio performance at a granular level to identify risk trends, opportunities, and improvement areas. This role involves developing and optimizing credit strategies across the customer lifecycleincluding acquisition, portfolio management, fraud control, and collections.Key Responsibilities:- Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well.- Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.)- Identify trends by performing necessary analytics at various cuts for the Portfolio- Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio- Work with Product team and engineering team to help implements the Risk strategies- Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models- Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting- Should have good understanding about various unsecured credit products- Should be able to understand the business problems and helps convert them into the analytical solutionsRequired Skills & Qualifications:- Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS)- 2-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights- Proficiency in SQL and other analytical tools/scripting languages such as Python or R- Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions- Proficiency with statistical and data mining techniques- Proficiency with machine learning techniques such as decision tree learning etc.- Should have an experience working with both structured and unstructured data- Fintech or Retail/ SME/LAP/Secured lending experience is preferred (ref:iimjobs.com)


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