Data Scientist

1 month ago

Bengaluru, India Kinara Capital Full time

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.

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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