- 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.
Didn’t find the job appropriate? Report this Job
