📌 We're Hiring | Data Analyst / Data Scientist
Aditya Birla Housing Finance Limited (ABHFL) | Analytics | Mumbai Metropolitan Region | 2–6 Years
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
Location: Mumbai Metropolitan Region (MMR)
Experience: 2 – 6 Years
🔧 What You'll Do
Machine Learning Models
→ 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
→ Support credit scorecard development (application, behavioural, early-warning)
→ Run KS / Gini / PSI / vintage analysis on deployed models
Model Governance
→ 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
Data & Business Intelligence
→ 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
Innovation & Centre of Excellence (CoE)
→ 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
Stakeholder Engagement & PMO
→ 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
🛠️ Skills We're Looking For
✅ ML Modelling – classification, regression, ensemble models, clustering, forecasting, calibration, cross-validation
✅ Credit & Risk Analytics – scorecards, KS / Gini / PSI / vintage analysis, champion-challenger
✅ Model Governance – MDR / MVR / PIR, PSI / CSI monitoring, audit readiness
✅ Python – Pandas, Scikit-learn, XGBoost / LightGBM, SHAP
✅ SQL – complex queries, CTEs, window functions on large datasets
✅ Power BI – DAX, portfolio dashboards, drill-through reports
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.
📩 Interested?
Please apply here or tag someone who'd be a great fit. 🙌
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