Build models that will transform the financial products of the organization
Own new product experimentation including plan creation, roll-out, and monitoring.
Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy pipelines and to set up processes
Develop and track metrics and reporting functions to measure and monitor risk products on our platform
Effectively and proactively communicate insights and drive projects to drive towards team goals
Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts.
Work on various datasets, do data massaging, apply statistical analytics, generate insights, produce results and present them
We're Excited About You If You Have
BTech/MS/MTech in Mathematics, Statistics, Computer Science or equivalent
Python experience; knowledge of R is a plus
Experience of Ensemble methods, GANs, Transformers, Quantization
Mongo Big Data Experience
SQL mastery: be able to write efficient and complex code.
Very strong verbal and written communication, and presentation skills including fluency in English
Highly detailed oriented
Able to identify stakeholders, build relationships, and influence others to get work done