HomeData Science JobsSAVII NEW CROSS TECHNOLOGY PRIVATE LIMITED | Hiring | Data Scientist -...

SAVII NEW CROSS TECHNOLOGY PRIVATE LIMITED | Hiring | Data Scientist – Credit Risk | BigDataKB.com | 07-04-2022

Job Location: Gurgaon/Gurugram

Please share resume to [email protected]

Roles and Responsibilities

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Assist in developing and implementing a framework for sourcing, processing and analyzing valuable data sources for improving credit risk strategies

  • Analyse large amounts of information to discover trends and patterns
  • Developing credit scorecards, testing & monitoring frameworks
  • Build predictive models and algorithms
  • Combine models through ensemble modelling
  • Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
  • Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
  • Work as independent contributor mostly and as a mentor to other team members by providing guidance when required
  • Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenge

Desired Candidate Profile

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Proven experience as a Data Scientist or Credit Risk Data Analyst

BS in Computer Science, Engineering, Mathematics, Physics, Statistics or other relevant field; graduate degree in a quantitative field is preferred

Hands on experience with SQL and one or more data analytics/programming tools such as R/Python/Java

Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc

Experience in consumer lending industry preferred

Experience in risk analytics (model development, scorecard development, documentation, validation, implementation and automation etc.)

Analytical mind, business acumen, math skills (e.g. statistics, algebra) and problem-solving aptitude

Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor

Excellent communication and presentation skills

Understanding of credit bureaus and non-traditional data providers will be a plus

Experience using business intelligence tools (e.g. Zoomdata, QlikView, Tableau etc.) and data frameworks (e.g. Hadoop) is a plus

Experience in the following areas will be considered an advantage: o Docker, CI/CD, git, Google Cloud Services, Pub/Sub, REST AP

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