Data Scientist - Risk Model/Credit Risk Domain

- Master's degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline

- 7+ yrs of experience in data science with developing and deploying machine learning models

- Experience in risk model or credit risk model or fraud analytics model ands on experience leveraging machine learning techniques (Gradient Boosting, Clustering, Logistic Regression or Random )

- Handy with data extraction, cleaning, analysis and building reusable data pipelines

- Proficient in Python.SQL, Spark SQL and/or Hive

- 2+ years of experience building and managing high performing data science team

- A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner

- Experience working with AWS EMR, Spark or other cloud-based platforms is a plus