Machine Learning Engineer

Organization: L&T Finance

Function: Rural Business Finance Loan Analytics

Location: Mumbai – Santacruz (Kalina)

Analytics team

Team Manager

Candidate should have good understanding of analytics related to Micro Loan, Rural Business Loan, Rural Loan against properties, Gold Loans in rural sector. Candidate should have knowledge about JLG lending in India, market potential and Insights. Candidate should have worked on micro finance lending analytics.

Identifying market trends, customer needs, and competitive landscapes to design innovative lending solutions. Developing and executing strategies to drive the expansion of the unsecured lending business in alignment with the company's overall vision and goals.

Summary of Responsibilities

• Analyze large datasets to identify trends, patterns, and correlations related to loan performance (lender association, delinquency, exposure movement etc), customer behavior, and market dynamics.
• Develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes.
• Work closely with product development team to design and launch new micro loan products such as Gold Loan, Business Loan, Rural Loan against properties etc., tailored to the needs of our target market.
• Conduct ad-hoc analyses to support strategic initiatives, such as product development, pricing optimization, and market segmentation
• Provide insights and recommendations to improve underwriting criteria, loan origination processes and customer targeting strategies.
• Stay abreast of industry trends, best practices, and regulatory changes impacting rural business lending.
• Collaborate with IT and data engineering teams to ensure data quality, integrity, and accessibility for analytics purposes.
• Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability.

Desired Skills and Experience

1. Experience of 3-10 years in R, Python, PL/SQL (Preferably MS SQL Server)
2. Experience in BFSI domain, Indian Banks and NBFCs is a huge advantage.
3. Good understanding of Micro Finance Credit Bureau data.
4. Proficiency in statistics and other tools/languages - R, Python, SAS.
5. Familiarity with relational databases and intermediate level knowledge of SQL.
6. Ability to synthesize unstructured data and find actionable themes/insights using SAS/Python/R.
7. Experience in Google Cloud Platform/ Google BigQuery/Vertex AI are a huge advantage.
8. Strong problem-solving skills. Ability to connect business requirements to data-mining objectives and business benefit. Demonstrated ability in gathering requirements, designs, plans and estimates.
9. Aptitude to learn and ability to think creatively to solve real world business problems.
10. Knowledge in at least one of the following - Logistic regression models, Linear regression models, Stochastic models, Bayesian - Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics will be additional advantage.

Why Work with L&T FinanceWork for Bharat & INDIA

Work on Cutting Edge Tools/Techniques

Industry Awards

Collaborative & Learning Environment