Data Scientist at Kinara Capital in Bengaluru, Karnataka, India

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Job Description

About the Company:
 



  





 Kinara Capital is a FinTech NBFC dedicated to driving Financial Inclusion in the MSME
 



 sector. Our mission is to transform lives, livelihoods, and local economies by providing fast
 



 and flexible loans without property collateral to small business entrepreneurs. Kinara Capital values diversity and inclusion and
 



 fosters a collaborative working environment.
 



 Kinara Capital is the only company from India recognized globally by the World Bank/IFC
 



 with a gold award in 2019 as ‘Bank of the Year-Asia’ for our innovative work in SME
 



 financing.
 



 Kinara Capital is an RBI-registered Systemically Important NBFC. Headquartered in
 



 Bangalore, we have 133 branches across Karnataka, Gujarat, Maharashtra, Andhra
 



 Pradesh, Telangana, Tamil Nadu, and Puducherry with more than 1800 employees.
 



 https://kinaracapital.com/
 



 Job Title: Data Scientist / Senior Data Scientist
 



 Department: Data Science Department
 



 Report to: SVP, Head of Data Science
 



  





 Team Details and Job
 



 Responsibility:
 



  





 The scope of work for the data science team is diverse and comprehensive. The Data
 



 science team plays a crucial role in making better and faster data driven decisions using
 



 Advanced analytics, modelling, and machine learning techniques.
 



 The Data Scientist/Sr Data Scientists will be responsible for end-to-end delivery of projects
 



 covering areas of Risk Modelling and Analytics, Systemic Implementation of the Models
 



 using API’s, Lending Strategy Development, Bureau Score analytics, Portfolio Risk
 



 Management, Collections Models and Strategy, Fraud and Anomaly Detection and other
 



 analytics such as HR Analytics and Sales Forecasting.
 



  





 Qualifications:
 



  





 Education: MS/MTech/BTech graduates or equivalent with a focus on data science and
 



 quantitative fields (CS, Engineering, Mathematics, Economics)
 



 Work Experience: Overall 2 to 4 years of proven experience in AI/ML with Python. Out of
 



 the total experience, at least 1 to 2 years of experience should be in Lending, FinTech,
 



 Banking/Financial Services
 



  





 Skills & Competencies
 



  





 Technical Skills
 



 ⮚ Proven experience in usage of Python and SQL
 



 ⮚ Excellent in programming and statistics
 



 ⮚ Working knowledge of AWS, Git and Postman
 



 Soft Skills
 



 ⮚ Strong Communication Skills (Written and Verbal)
 



 ⮚ Collaboration and Teamwork
 



 ⮚ Attention to Details
 



 ⮚ Problem Solving
 



 ⮚ Analytical Thinking
 



 Competencies
 



 ⮚ Statistical Analysis and Modelling
 



 ⮚ Machine Learning Algorithms and Techniques (such as XGBoost, Random Forest,
 



 Optimizations Techniques)
 



 ⮚ Excellent grasp of data handling and processing in Pandas
 



 ⮚ Prior Experience in the following areas will be a big plus: Building Origination
 



 Models/Strategies, Collection Models and Strategies, Anomaly Detection Models
 



  





 Behavioral Traits
 



  





 ⮚ Curiosity
 



 ⮚ Initiative
 



 ⮚ Energetic
 



 ⮚ Bias for Action
 



 ⮚ Continuous Learning and Growth Mindset
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