Data Analyst / Data Scientist

ABC - Aditya Birla Housing Finance Limited; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

ABHFL is seeking a Data Analyst / Data Scientist to join the Analytics team. You will work at the intersection of ML modelling, governance, and BI, translating data into actionable insights for senior stakeholders.

The role combines building end-to-end ML models, maintaining model governance, and delivering Power BI dashboards to monitor portfolio quality and performance.

Qualifications

• 2–6 years in analytics / data science, with BFSI experience.
• Experience building and validating ML models; exposure to governance and regulatory compliance is preferred.
• Housing finance / mortgage analytics experience is a strong plus.
• Strong communication skills with the ability to present analytics findings to leadership and non-technical stakeholders.

Responsibilities

• Build ML models to support key business functions — Lead Scoring, Sales Forecasting, Attrition Prediction, and more.
• Build propensity and pre‑qualification models on large customer bases to drive cross-sell and portfolio deepening.
• Build and maintain Power BI dashboards on portfolio quality, delinquency, and funnel metrics.
• Automate MIS and analytics reports for real‑time decision support.
• Mine large datasets using SQL and Python for segment and product insights.
• Present insights, model outcomes, and analytics decks for leadership reviews.

Skills

SQL

Python

Power BI

Data storytelling

Education

B.Tech / M.Tech / MSc in CS/Statistics/Math

MBA with analytics background (preferred)

Tools

PySpark

Databricks

Power BI

Job description

Are you someone who builds machine learning models end-to-end, cares about model governance as much as model accuracy, and can tell the story of data through insightful dashboards?

If yes — we'd like to talk.

About the Role

We're looking for a sharp, hands‑on Data Analyst / Data Scientist to join the Analytics team at ABHFL — an AAA-rated, fast‑growing Housing Finance Company and part of the Aditya Birla Capital ecosystem.

You'll sit at the intersection of ML modelling across business functions, model governance & performance management, and business intelligence — translating complex data into actionable insights for senior stakeholders.

Department: Analytics

Experience: 2 – 6 Years

What You’ll Do

• Build ML models to support key business functions — Lead Scoring, Sales Forecasting, Attrition Prediction, and more
• Work with customer profile, behavioural, and alternate data for feature engineering across use cases
• Build propensity and pre‑qualification models on large customer bases to drive cross‑sell and portfolio deepening
• Run KS / Gini / PSI / vintage analysis on deployed models
• Own model documentation — model development reports(MDR), model validation reports (MVR), and post‑implementation reviews (PIR)
• Track model health, flag drift, and recommend recalibration
• Support internal audits and ensure NHB / RBI compliance on models
• Embed governance standards across the analytics lifecycle
• Build and maintain Power BI dashboards on portfolio quality, delinquency, and funnel metrics
• Automate MIS and analytics reports for real‑time decision support
• Mine large datasets using SQL and Python for segment and product insights
• Partner with the Analytics CoE to maintain a model inventory and governance calendar across deployed models
• Develop innovative use cases spanning prescriptive analytics, voice analytics, and text analytics on unstructured data
• Manage the Analytics PMO — drive strategic business projects from an analytics standpoint, track milestones, and ensure governance across the analytics portfolio
• Present insights, model outcomes, and analytics decks for leadership and business reviews
• Collaborate with Credit, Risk, Product, Business, and CXO teams on analytics‑led decisions

Good to have:

• PySpark / Databricks, bureau APIs, NHB / RBI framework exposure

Qualifications

• B.Tech / M.Sc. / M.Tech in Computer Science, Statistics, Mathematics or related quantitative field; MBA with strong analytics background preferred.
• 2–6 years in analytics / data science, with at least 1–2 years in BFSI (bank, HFC, NBFC, fintech, or bureau). Proven hands‑on experience in building and validating ML models. Exposure to model governance process and regulatory compliance is preferred.
• Housing finance / mortgage analytics experience is a strong plus.
• Strong communication skills with the ability to structure and present analytics findings to senior leadership and non‑technical stakeholders.

Model Governance – MDR / MVR / PIR, PSI / CSI monitoring, audit readiness

SQL – complex queries, CTEs, window functions on large datasets

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