Company Name: IDLC Finance Limited
Roles & Responsibilities:
- Develop and implement IDLCs data strategy for data-driven credit analysis
- Constructing analytics infrastructure for Big Data Analysis in IDLC
- Undertake preprocessing of structured and unstructured data
- Build and review predictive models and machine-learning algorithms for scorecard-based and digital lending
- Portfolio review and pin point areas of distress and ways of improvement
- Analyze large amounts of economic and sectorial information to discover trends and patterns for formalizing IDLCs credit strategy
Educational Qualification:
- B.Sc/M.Sc in Computer Science, Statistics, Engineering or any other quantitative field; post-graduate degree in Data Science or other quantitative field (post-graduate degree preferably from abroad)
Work Experience:
- At most 2 year(s)
Others Requirements:
- Experience in data mining and Big Data analysis
- Skilled in R/Python, SQL, Javascript and CSS
- Hands on experience on libraries such as Tidyverse, Caret, Tidymodels, Plumber, Pandas, scikit-learn, PyCaret, Rest API
- Skills on developing business intelligence tools (Tools: Shiny, Power BI, Tableu, Dash)
- Familiarity with Docker and Unix
- Working experience with linear and non-linear correlation techniques for logic driven decision-making
- Exposure in advance credit scorecard models, such as Regression, Tree based model, Naïve Bayes, Neural Network, kNN, etc.
- Analytical mind and business understanding of local markets
- Strong skill in statistical inference
- Problem-solving aptitude
- Excellent communication and presentation skills
Others Benefit:
As per company rules.