Decision Science Manager - FinTech

Job Summary:

Define, design and deliver solutions using business analytics in a fast paced, next generation banking environment.

Own and build credit risk decision strategies for unsecured lending with a unique value proposition.

Evaluate and apply machine learning algorithms to build credit risk models.

Complete ownership including but not limited to identifying model development approach, building models that meet top standards of ML, evaluation and cost benefit analysis of new sources of data, implementation and tracking of credit risk decisions, dynamic model validation, MIS monitoring etc.

Guide the back end infrastructure development and liaison with the 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 insight.

Experience & Skills Required

9+ yrs experience in large banks in India/Overseas, NBFC or similar.

Excellent knowledge of scorecards, strategies and credit risk management principles preferably for unsecured loans.

At least 4+ yrs hands on experience developing models in credit risk.

Experienced in risk management of different lending products across the lifecycle of consumer credit

Qualification

Engineering or Masters in Statistics or Data Science.

Experience working in a startup, preferably a Fintech startup.

Working knowledge of the Indian credit bureaus.

Expert in at least one of R or Python.

Ability to thrive in a fast-paced, collaborative environment.

Exposure to unstructured data analytics and Big Data is a plus.

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.