You'll spend time on the following:
- 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
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