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10/10 Vaseeya Nousheen
HR at OLA Cabs

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OlaCabs - Associate Director - Risk (10-14 yrs)

Bangalore Job Code: 752312

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.

Women-friendly workplace:

Maternity and Paternity Benefits

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