Ola Financial Services, a subsidiary of Ola, is a fintech involved in providing consumer credit in India that envisions convenience, accessibility, transparency and value proposition all at one place. Responsibilities: - Own and build credit risk decision strategies for unsecured lending viz. PL, CC, EMI. - Excellent knowledge of scorecards, strategies and credit risk management principles. - Ownership including but not limited to identifying model development approach, building models that meet top standards of ML, model validation. - Lead the support team of business head by acting as key stakeholder for P&L. - Efficient in evaluation and cost benefit analysis of new sources of data. - Successful implementation and tracking of credit risk decisions along with MIS monitoring. - Guide the back end infrastructure development and liaison with the data engineering team for deployment of models, integration of data - Apply the fundamentals of consumer lending to a new ecosystem that demands. innovation in application of the same principles in an unexplored and challenging credit lending environment. - Approach the challenges in a passionate, innovative and decisive manner. - Quick on feet in problem structuring and identifying the right next steps for incisive insights. - Balancing Problem solving depth with the pace of progress expected in fast moving lending business environment. - Liaison with product and engineering to help execute the product journeys and back-end process that meets risk needs and fintech app requirements - Lead a team of data scientists, business analysts and decision scientists to deliver credit risk solutions in the most optimal and effective manner. Required Qualifications: - 10+ yrs experience in large banks in India/Overseas, NBFC or similar, - At least 4+ yrs hands on experience developing models in credit risk. - Experience working in a Fintech for 2 years. - Experienced in risk management of different lending products across the lifecycle of consumer credit. - Highly analytical with past history of handling teams and engaging business stakeholders. - Worked in SAS, SQL and other database in their early career for data mining. - Exposure and working knowledge of R or Python. - Expert level knowledge of the Indian credit bureaus. - Ability to thrive in a fast-paced, collaborative environment. - Exposure to unstructured data analytics and Big Data is a plus.

Bangalore

OlaCabs - Associate Director - Risk 

OlaCabs - Associate Director - Risk  ,Job Description for OlaCabs - Associate Director - Risk  in OLA Cabs in  Bangalore for (10-14) years of experience. Apply Now!

Job Description for OlaCabs - Associate Director - Risk  in OLA Cabs in  Bangalore for (10-14) years of experience. Apply Now!