About the role:
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 model lifecycle of build, validate, implement,
monitor, and update.
Responsibilities:
● Solve business problems across all functions using AI/ML.
● Ownership of model lifecycle management.
● Guide and train junior team members.
What are we looking for?
• Demonstrable Modelling experience: In depth understanding of model build and model
lifecycle management across supervised and unsupervised learning using structured and
unstructured data. (eg: 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 skills: Impeccable written and oral communications with ability to
engage directly with stakeholders.
• Self-driven: Motivated and comfortable with ambiguity.
• Guide & Train: Ability to guide and train juniors.
Preferred Qualifications & Experience:
• Level of experience: 2 to 5 years
• Graduate or Postgraduate in Engineering, Math, Statistics, Economics, Operations Research from Tier 1 college.
• Should have demonstrable financial domain specific working knowledge of model development.