Data Scientist (Credit Risk)

Position Summary

Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software.

1. This role requires building Credit Risk, Fraud, Bad Debt, Write off, Collection Scorecard.
2. Data exploration, mathematical/statistical modeling, data analysis, and hypothesis testing.
3. Design, development, and deployment of Predictive models and frameworks.
4. Complex statistical concepts are explained in a way that clients can understand and advice on strategy.

Requirements and General Skills

• 1-3 years of overall experience in R, Python, and in Different Model Development.
• Must have experience in the building following scorecard:
  • Credit risk
  • Fraud
  • Bad Debt
  • Write Off
  • Collection

• Knowledge of different libraries in R and Python and their implementation.
• Strong Analytical and problem-solving skills.
• Knowledge of different Machine Learning models and their implementation.
• Strong database experience in SQL and My SQL.
• Knowledge in data processing and analysis.
• Organizational and time management skills required.
• Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation, and predictive modeling.
• Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
• Design and build dashboards and other visualizations in BI tools.
• Should be able to handle assigned tasks in the capacity of an individual contributor.

Technical Skills

• Hands-on experience in R and Python.
• Good understanding and experience in the implementation of different packages of R and Python.
• Proficiency in SQL and MySQL.
• Proficient understanding of different analytical and database tools and their implementation.
• Knowledge of Neural Networks.

Location

Gurgaon

To apply, send your cv at hr@valiancesolutions.com