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 sectoral information to discover trends and patterns for formalizing IDLCs credit strategy
Educational Qualification:
- B.Sc/M.Sc in Computer Science, Engineering or relevant field; post-graduate degree in Data Science or other quantitative field (post-graduate degree preferably from abroad)
Work Experience:
- At least 2 year(s)
Others Requirements:
- Experience in data mining and Big Data analysis
- Knowledge of R, SQL and Python; familiarity with Scala, Java
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Working experience with linear and non-linear correlation techniques for logic driven decision-making
- Exposure in advance credit scorecard models, such as Random Forrest, Naïve Bayes, Neural Network, kNN, etc.
- Analytical mind and business understanding of local markets
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
Others Benefit: