Manager - Data Science - NBFC/FinTech

Role Description:

You will help solve problems at WeRize 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.

Key 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.

Attributes we are looking for:

- Demonstrable Modelling experience: In-depth understanding of model build and model lifecycle management across supervised and unsupervised learning using structured an 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.

Preferred Qualifications & Experience

- Level of experience: 4 to 6 years; prior experience in machine learning is mandatory work experience in NBFC/HFC/ Fintech sector preferably on the Digital Lending or Fintech Partnership side.

- Graduate or Postgraduate in Engineering, Math, Statistics, Economics, Operations Research.