Data Scientist II

Roles and Responsibilities

Key Responsibilities:

• Work with cash‑flow, behavioural and traditional bureau datasets
• Upgrade and maintain risk products, end‑to‑end loan decisioning products, zero manual intervention products
• Create / Ideate / Innovate on frameworks for credit risk, ops, credit offers, fraud and required model development/updates

Primary Requirements (Must‑have)

• 2‑5 years of experience in data‑science
• Hands‑on modeling experience in ANN, RF & GBM
• Expertise in Python and knows at least one object‑oriented programming language
• Understands retail lending
• Expertise in feature generation and data sanity
• Keen on problem solving and aptitude for learning

Preferred Qualifications

• Must have delivered at least one data product end‑to‑end
• Previous experience in banks / NBFC(s) / fintechs
• Knows SCALA / JAVA
• Experience in deploying Machine Learning and Deep Learning techniques
• Understands the concepts of hyper‑parameter optimization and various techniques to achieve the same, primarily Genetic and Bayesian approaches
• Framework(s) approach to problem solving and ability to break down broader problem statements to hypothesis and validate
• Keeps a track of recent developments in the ML & DL space
• Belongs to Tier 1 colleges (IIT / NIT / BITS etc.)

About the Team

The team is responsible for conceptualizing and productionization of the data‑products at CreditVidya which are key to CreditVidya’s B2B and B2B2C/B2C business, including but not limited to:

• Credit Risk
• Leverage
• Fraud
• End‑to‑end loan decisioning products

We are among the few teams in the Indian fintech space who have successfully implemented large‑scale ML and DL models and have the pride of having patented an in‑house state‑of‑the‑art unstructured‑to‑structured data transformation NLP technique.

Awards to the Team

• 2019 Best AI Startup Award from India FinTech Forum
• 2018 Gartner's Cool Vendors in AI for FinTech in Asia/Pacific
• 2017 Amazon India AI Conclave Award in FinTech category