Job description

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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