![U GRO CAPITAL](https://media.trabajo.org/img/noimg.jpg)
Machine Learning
1 week ago
About U GRO Capital
UGRO Capital limited is a BSE and NSE listed, small business lending fintech platform.
The Company is focused on addressing the capital needs of small businesses operating in select eight sectors by providing customized loan solutions.
U GRO Capital's mission is 'Solve the Unsolved' - Small Business Credit Need.U GRO Capital believes that the problem of small businesses can be solved by building deep expertise around core sectors of SMEs in India coupled with a data-centric, technology-enabled approach.
The Company has raised ~INR 920 crore of capital from a diversified set of private equity funds like institutional investors and well-known family offices.
About the Role
A machine learning engineer (ML engineer) is a professional in the field of information technology who specializes in the development of self-contained artificial intelligence (AI) systems that automate the usage of prediction models.
Key Responsibility
- Establish the advantage of using data science in various facets of SME lending, including (but not restricted to) credit scorecards & portfolio monitoring frameworks, business insights, campaign management, propensity and pricing
- Lead design for database and data pipeline suited to the end use
- Creating ML deployment architecture
- Manage governance and quality of data
- Creating and managing data pipelines for modelling purposes
- Create model usage strategies for credit underwriting
- Drive external partner engagements (such credit bureaus/ fintech platforms)
- Demonstrated track record of having applied data science methods to solving business problems
- Strong handson experience in building and deploying predictive models and knowledge of global best practices
- Experience in BFSI is a big advantage
- Excellent problemsolving skills
- Experience of managing direct reports/ project delivery/ creating sales pitches /presenting to prospective clients
- Managing cross functional stakeholders at senior levels
- Experience of having managed projects with external consultants/ credit bureaus/ rating agencies/ other vendors
- High proficiency in at least one of SAS + Python
- Strong academic background in statistical methods
- Strong hands on experience in model development and monitoring
- Familiarity and knowledge of data structures and schema
Experience : 1-3 Years
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