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29/04 Puja
Senior Executive - Human Resources at Comviva Technologies

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Mahindra Comviva - Data Scientist (1-4 yrs)

Gurgaon/Gurugram Job Code: 919778

Job Description for Data Scientist (relevant experience: 1-3 years)

- The finance industry has ignored billions of deserving individuals. We are a mission driven team of finance, analytics and technology professionals, started a venture to include underserved people financially.

The values that we look for in Candidates are:

- Passion for analytics: The Data Scientist should be able to build cutting edge credit/fraud default models risk analytics in a big data environment

- Process oriented: The Data Scientist should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements.

- Hands-on & willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. We're looking for someone who is not afraid to take on calculated risks and can deal with ambiguity.

Job responsibilities:

- Identifying different sources of data and building a roadmap for data collection

- Develop innovative credit / fraud default models using telecom and mobile wallet transaction data

- Establishing credit/fraud strategies for multiple geographies leveraging CART

- Building reports for model monitoring

Required Qualifications & Skills:

- Good analytical thought process and aptitude for problem solving

- Experience in big data platform technologies : python, spark, R, sql

- Hands on experience in data extraction using SQL

- Hands on experience in data cleaning, feature creation and building models using R/Python

Previous exposure to below algorithms (preferably multiple):

- Logistic Regression

- Random forest

- XGBOOST

- Markov Chain

- PSI/CSI for model monitoring

- Strategy performance tracking and swap in/swap out analysis

- Strong entrepreneurial drive

Good to have :

- Previous hands on in risk (credit or fraud) strategy development and deployment

- Previous experience in PD model development/validation,

- Experience in CSI/PSI model monitoring process

- Experience in model deployments

- Experience in working with credit card firm

- Hands on experience in working with Telecom data

Women-friendly workplace:

Maternity and Paternity Benefits

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