CCB Risk Modeling Data-Scientist Sr Associate Fraud Prevention
Bengaluruonsitesenior
Posted today · via Oracle
About this role
Hands-on individual contributor role focused on building and scaling fraud prevention ML capabilities in an AWS environment. You’ll develop, deploy, monitor, and optimize predictive models for fraud/risk, explore and implement advanced approaches (e.g., graph networks, LLMs, agentic AI), and build/test reliable AI agents end-to-end. You’ll also create data pipelines and insight tooling using Databricks/PySpark, partner closely with product/engineering/data science, contribute reusable firmwide solutions and best practices, and mentor junior team members.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, aws, pyspark, sklearn, tensorflow
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Bengaluru. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonawspysparksklearntensorflow
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