Website super.money

If you are looking to build or grow your career in data analytics within the fintech industry, an exciting opportunity is available at super.money. The company is currently hiring a Data Analyst for its on-site office in Bengaluru. This role is ideal for professionals with 1–4 years of experience who want to work with data-driven lending products and financial analytics.

Job Overview

  • Company: super.money

  • Position: Data Analyst

  • Location: Bengaluru (On-site)

  • Employment Type: Full-time

  • Experience Required: 1–4 years

About the Role – Data Analyst

The Data Analyst role at super.money focuses on data analytics in the lending domain, helping the company make better credit, product, and business decisions. The position involves analyzing large datasets related to personal loans and digital lending, identifying patterns in user behavior, and improving credit approval processes.

As a Data Analyst, you will work on credit funnel analytics, ensuring smooth tracking of customers from loan application to approval and disbursal. You will also build data-driven scorecards and predictive models that help assess customer creditworthiness using bureau data, behavioral data, and financial indicators.

Role & Responsibilities – Data Analyst

Credit Funnel Analysis

Manage and analyze the credit journey, tracking users from application to approval and loan disbursal, and identify opportunities to improve conversion rates.

Building Credit Scorecards

Develop frameworks to evaluate borrower risk using:

  • CIBIL-based models

  • Thick and thin credit file analysis

  • Bureau and behavioral data

Forecasting & Data Modeling

Forecast important business metrics such as:

  • GMV (Gross Merchandise Value)

  • Approval rates

  • Conversion metrics

  • Cost metrics

This analysis will primarily be done using SQL and Python.

Performance & Pricing Analysis

Analyze lender-wide performance metrics and contribute to pricing strategies and ROI optimization.

Cross-Team Collaboration

Work closely with:

  • Product teams

  • Growth teams

  • Lender Operations

  • Engineering teams

to implement data-driven improvements across lending products.

Required Skills & Qualifications – Data Analyst

Industry Experience

  • Experience with personal loans or BNPL (Buy Now, Pay Later) products

  • Preferably in a D2C or app-based marketplace environment

Technical Skills

  • Strong SQL and Python proficiency

  • Dashboarding experience (Tableau preferred)

  • Ability to work with large-scale datasets

Financial Knowledge

  • Understanding of credit policies

  • Familiarity with bureau logic and lending frameworks

Statistical & Machine Learning Exposure

Exposure to models such as:

  • Logistic Regression

  • Credit Scorecards

  • XGBoost

Soft Skills

  • Strong analytical thinking

  • Business problem-solving mindset

  • Ownership-driven approach

  • Ability to collaborate across teams

About the Company

super.money operates in the financial services industry with a team size of 51–200 employees. The company describes itself as India’s most rewarding UPI platform, focused on building innovative digital payment and lending solutions for modern users.

Apply Now – Data Analyst

If this opportunity matches your skills and career goals, you can apply directly through the LinkedIn job posting or reach out to the hiring contact Neha Lakhwani for more details.

To apply for this job please visit remotejobhiring.com.