You will help solve problems 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 the 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 building 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-have skill) and developing SQL queries.Strategic & Analytical Orientation : Exceptional Logical, Analytical, and Reasoning skills complemented by rigor and a strong quantitative orientation.Strong communication and stakeholder management skills : Impeccable written and oral communications with the 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.(ref : hirist.tech)