Groww | Hiring | Manager – Risk Analytics | BigDataKB.com | 2022-09-16

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Job Location: Bangalore/Bengaluru

  • The Senior Manager-Banking Risk (Risk Analytics) profile expected to contribute to the strategic direction of the NBFC through the development and implementation of Risk Management strategies, policies and procedures, portfolio monitoring covering –
  • To provide data / Analytical / Scoring support to all stakeholders in enabling right decision making at all levels
  • Acquisition, Portfolio and collection management Analytics Framework.
  • Engagement with Partners for co-lending portfolio review and provide data insight.
  • Engagement with business to identify business opportunities by identifying cohorts.
  • Creation of database
  • Analysis of customer demographics, investments, and bureau variables to build customer segmentation.
  • Identification and Review of Marginal segments and best performing segments by analysis of multiple variables.
  • Models to be created to identify customer type, Imputed income and obligation of the customers by using alternative data.
  • Risk based Pricing model
  • Collection and portfolio tracking framework
  • Automation of portfolio risk and collection metrics to provide regular update to management .
  • Loss management (ECL) model.
  • Liasioning with inhouse team partners to build robust monitoring framework.
  • Engagement with Bureau to build bureau-based models
  • Management risk review pack on Portfolio
  • Defining SOP s.
Key Responsibilities:
  • The position is involved with defining the strategies associated with Credit, Collections, Operational and Risk containment risks, with the main focus being Credit Collections Risk. Key responsibilities being: –
  • Analyze data to better understand potential risks, concerns and outcomes of decisions
  • Aggregate data from multiple sources to provide a comprehensive assessment
  • Create reports, summaries, presentations and process documents to display results
  • Develop systems and processes for gathering and storing data for analytic projects
  • Conduct research into potential clients and understand the risks of accepting each one
  • Monitor internal and external data points that may affect the risk level of a decision
  • To ensure the Risk Management Framework is effectively embedded and communicated across the credit Risk organisation
  • To drive analytics in partnership with business to determine the target portfolio for the retail business
  • To provide analytics support to enable policy decisions to grow / reduce the business in line with the business- Risk Appetite and target portfolio.
  • To monitor the health of the portfolio in terms of both long term vintage performance and loss forecasting.
  • Active participation in the prioritisation of credit risk scorecards as per the retail client strategy
  • Reviewing the credit scorecards/risk segmentation criteria to evaluate if they remain predictive of risk
  • Ensure the upgrading the analytical abilities in the credit space (including system and people capability).
  • Present data analysis findings in a clear and concise manner and offer recommendations based on key insights uncovered
  • Develop predictive dynamic monitoring procedures/system for Risk Management Department.
  • Prepare monthly Risk review Decks for required reporting.
  • Automated Risk dashboards to be developed for regular monitoring and reporting
  • Need to work on ECL to define threshold metrics for portfolio. Preparation of loss forecasting to meet the required thresholds.
  • Coordinate with other departments such as Credit, IT, Operations and collections, in order to create an efficient and effective communication via the functional lines.
  • Support in collections strategies with detailed analytical based analysis.
Other job-related requirements
  1. In depth understanding of lending portfolio risk metrics and their implications.
  2. Demonstrate proficiency with Risk Management practices including policy/procedure development.
  3. Excellent at analytical and problem-solving skills.
  4. Ability to prepare and analyze comprehensive reports as and when required.
  5. Excellent communication, organizational and managerial skills.
  6. Demonstrated ability to prioritize tasks and meet daily deadlines for projects
  7. Strong written and verbal communication skills to inform managers and other stakeholders of results
  8. Proficiency in Microsoft Excel, Access, Visio and other analysis programs
  9. Ability to manage multiple projects and programs at the same time to complete work
  10. Critical thinking skills with the ability to independently solve problems with data
  11. Quantitative and analytical skills with a demonstrated ability to understand new analytical concepts
  12. Basic knowledge of programming languages, such as SQL and Python
  13. Presentation skills, including public speaking and presentation creation using PowerPoint or a similar program

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