You will help solve problems at organization across credit/fraud risk, business, collections, customer service, etc through AI/ML techniques. As a key member of the team, you work closely with leadership and business/functional units to manage model lifecycle of build, validate, implement, monitor, and update.

Responsibilities :

- Solve business problems across all functions using AI/ML with quantifiable outcomes.

- End to end ownership of model lifecycle management.

- Team management and stakeholder management.

Requirements :

- Demonstrable Modelling experience : In-depth understanding of model build and model lifecycle management across supervised and unsupervised learning using structured and unstructured data. (e.g. : Risk Scorecard, Propensity models, Optimization, NLP, etc.)

- Excellent coding skills : Python coding (a must skill) and developing SQL queries.

- Strategic & Analytical Orientation : Exceptional Logical, Analytical, Reasoning skills complemented by rigor and strong quantitative orientation.

- Strong communication and stakeholder management skills : Impeccable written and oral communications with ability to manage stakeholder engagement.

- Strong business judgment and integrity : Should be a tenacious problem solver with good judgment and an open-minded approach. One who pushes the envelope but is rooted in ground reality.

- Self-driven : Motivated and comfortable with ambiguity.

- Team management : Ability to manage and mentor team members.