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25/01 Shabnam
HR at Earlysalary Services Private Limited

Views:590 Applications:141 Rec. Actions:Recruiter Actions:0

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

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)


ROLE & RESPONSIBILITIES:


- 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

Women-friendly workplace:

Maternity and Paternity Benefits

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