Job Description
The candidate will be part of the Data Science team and will primarily be responsible for solving complex and varied business problems for different retail lending products using advanced analytical techniques and machine learning (ML) algorithms:
The candidate is required to:
- Develop predictive models using advanced statistical techniques for underwriting, account management and marketing domains
- Leverage best-in-class modelling methodologies in varied development projects ensuring incremental business value
- Incorporate newer (implementation friendly) ML techniques and standardize the approaches within the development team
- Guide and mentor junior team members on various projects
- Support and contribute to the ongoing initiatives aligned with business priorities
Key Result Areas:
1. Deliver robust statistical / machine learning models catering to various business needs
2. Ensure flawless delivery of projects on time
3. Ensure efficient and quality delivery against requirements set forth by senior management
4. Develop and share best practices with multiple stakeholders
Competencies Required
- Strong analytical and problem solving ability
- Ability to learn and incorporate advanced techniques into model development process
- Good communication, presentation and inter-personal skills
- High level of motivation
Academic Qualifications Required
Post graduation in Statistics or Economics
OR
M.B.A. (Finance / Quantitative Methods) OR Engineer
Nature of Relevant Work Experience Required
- Predictive model development
- Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA, Bootstapping, Ensemble techniques
- Neural Network, Random Forrest, SVM
- SAS, SAS E-miner, R
- Python (good to have)
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