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25/01 Shabnam
HR at Earlysalary Services Private Limited

Views:996 Applications:260 Rec. Actions:Recruiter Actions:0

EarlySalary - Senior Data Analyst - Collection Analytics (2-5 yrs)

Pune Job Code: 1211577

About EarlySalary:

EarlySalary is an instant line of credit to young working Indians. EarlySalary is a pioneer in introducing instant loans & salary advances and has disbursed over Rs.4,000Cr worth of loans on its platform and currently disbursed nearly 100,000 loans a month and is considered one of the largest Digital Consumer FinTech Lender in the country.

EarlySalary is a series C funded start-up and has raised multiple rounds of investment from global investors including Eight Roads (Fidelity) Ventures & Chiratae (IDG) Ventures and is considered one of the fastest-growing FinTech start-ups in India. With a clear focus to disrupt the finance and banking domain, EarlySalary has built a strong team focused on build Technology, mobile platform, Risk & AI/ML models to better decisioning and real-time lending.

As a full-stack lender we manage both sides of the business building better technology and products for powering our lending platform and build ML models for better risk mitigation and giving real-time decisions to our customers.

Our ML & Risk Analytics Stack & Practice is focused on building a better Risk Score Card & building a high amount of automation. EarlySalary is considered one of the fastest & most automated lenders in the Industry.

Job Title: Sr. Data Analyst - Collection Analytics

Experience : 2-5 Years

Job location : Pune

Technical capability :

- Hands-on experience with SQL (or similarly structured on the non-structured database)- (Data Extraction, Joints, Window functions, Subquery)

- Hands-on experience with Tableau or any reporting tool (Quicksight is used)

- Experience in python (R Python) will be an added advantage

- Pandas- library used for transformation of tabular data (Intermediate experience)


- The successful candidate will be responsible for developing, analysing, and executing ideas and initiatives.

- Use sophisticated analytical techniques to solve a business problem specific towards Collections &Recovery and build collections strategy around the portfolio.

- To develop customer risk strategies, segmentation and profiles, using data science based tools and techniques for driving collections & recovery management.

- To work closely with risk and underwriting team for improvement in collections and closing the feedback loop on the delinquent cases.

- Design modules for advanced score card development and analytical tools and understand the impact of deployed models

Preference and Experience :

- 2+ years of experience in an analytical capacity required in lending domain

- Ability to work with a large amount of data (size in TB- s)

- Extensive coursework/experience in quantitative analysis & statistical modelling in consumer credit risk will be a plus.

- Exposure of consumer credit risk management, Credit Profit & Loss Drivers preferred

- Prior experience in banking or nbfc (credit cards or personal loan) will be a plus

- Detailed-oriented, high level of intellectual curiosity and strong sense of ownership.

- Demonstrated ability to multi-task effectively and work against tight deadlines

- Good business acumen and the ability to connect analytics with business decisions

- Good Problem solving and Structured thinking/ Data interpretation

Academic qualifications: Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or another quantitative discipline

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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