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Job Purpose “This position is open with Bajaj Finance ltd.
” Risk Management is core to Bajaj Finance.
Most of the decisions in Risk Management are data driven and analytical.
In order to get faster decision and assess risk of customers during loan acquisition and account management, customer behavior pattern needs to be checked through On-us and Off-us data sources.
Duties and Responsibilities Provide analytical solutions through data, credit policy and strategy, reporting and data analysis for the BFL businesses Design, Develop, monitor and improve models for customer risk management Drive strategic analytical projects for Risk Analytics for Credit decisioning Take end to end ownership of all the modeling exercise for Risk.
Monitor, maintain and improve all scorecards, policies and processes across portfolios and ensure its effectiveness Support any adhoc deep dive data analysis on portfolio matrices Track and or improve key performance indicators, losses and portfolio quality.
Provide deep dive analysis on portfolio matrices.
Assess if any early warning signals using data analysis and segmentations and take pro-active policy actions as and when required Support in managing and improving various offer strategies, control offer generation and distribution through data analysis Work closely with Risk teams to support business growth and drive new initiatives Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently and all required changes are build and implemented suitably Manage or mentor a set of Analysts in day to day analytical projects.
Manage AOP and other projects and deliver as against the timelines defined by the team.
Responsible for managing 4.
MAJOR CHALLENGES (Challenges faced on an on-going basis in carrying out the job) - Writing efficient SQL and Python queries - Liasing with IT and other teams to get models implemented in the systems - Liase with Risk Managers and business to finalise Model build design 5.
DECISIONS (Key decisions taken by job holder at his/her end) - Business interpretation of statistical models - Model Monitoring results and it’s interpretation - Model monitoring framework and design 6.
INTERACTIONS (Key working relationships a job holder needs to have INSIDE and OUTSIDE the company to accomplish the job) Internal Clients Roles you need to interact with inside the organization to enable success in your day to day work Portfolio Risk Managers, Information Technology (IT), Chief Risk Officer, Risk Analytics Head, CEO External Clients Roles you need to interact with outside the organization to enable success in your day to day work 7.
DIMENSIONS (Key numerical data which will reflect the scope and scale of activities concerning this job) Financial Dimensions (These should be quantifiable numerical amounts) Other Dimensions (Significant volume dimensions associated with the job) 2-4 people management Required Qualifications and Experience • Qualifications MBA / Post Graduate in quantitative subjects or B.
Tech/M.Tech • Work Experience • 5-8 years relevant analytical experience in Risk Management, Segmentation and Clustering.
• Preferred Coding languages: SAS, SQL, R, Python.
• Experience in handling huge data base and the ability to do root cause analysis.
• Individual contributor with the capability to deliver projects within timeline • Effective verbal and written communication skills
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