The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Translate business issues into specific requirements to develop the analytics solutions
- Develop Statistical / Machine Learning models e.g. Segmentation, Propensity, Recommendation, Optimization models to meet the business objectives for unsecured loan products
- Explore and utilize variety of internal and external data (structured/unstructured/real time) to improve model performance
- Coordinate with related teams to deploy models in Production with Model implementation process complied
- Monitor model performance and propose the recommendations to calibrate or re-develop models to improve their performance
- Provide & communicate analytics and model usages to business as well as the in-depth analysis to answer strategic queries
- Collaborate and manage vendors to deliver the projects related to customer analytics and models
Qualifications
- Bachelor's or master's degree in a quantitative field (e.g. Business Analytics, Computer Science, Statistics, other related fields)
- 2-5 years of experience working as a data scientist building models using machine learning
- Experience with relevant programming languages: Python, PySpark, SQL
- Ability to identify problems, formulate and articulate solutions, and defend assumptions
- Logical thinking and a high degree of attention to detail
- Ability to work with all levels of staff across all lines of business in the company
- Creative, innovative, collaborative, and customer focused attitude
