Sr Data Scientist

PeopleStrong; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

AB Housing Finance Limited is seeking an Analytics Manager to build ML-driven analytical models and deliver insightful dashboards that influence business decisions. The role requires strong data analytics skills, experience with Python, SQL, and BI visualization, and the ability to collaborate with stakeholders across departments.

You will lead the design of predictive models, monitor portfolio health, and create automated reports that improve efficiency and profitability.

Qualifications

• Analytics Manager will build ML-based analytical models to drive business decisions.
• Design and deliver visual dashboards using BI tools for stakeholders across functions.
• Strong grounding in statistics, analytics, and data science techniques.

Responsibilities

• KRA1 Data Visualization: Create automated reports for monitoring portfolio movement and leadership review.
• KRA2 Predictive Analytics: Build models for collection efficiency, delinquency, churn, ECL provisioning, NPA and segmentation.
• KRA3 Prescriptive Analytics: Support decision making with cost-benefit analyses and optimization of projects.
• KRA4 Automated Reports: Develop dashboards for Sales, Risk, Finance, HR Operations and other functions.

Skills

Data Analysis

Education

Graduate Diploma

Tools

Power BI

Python

MySQL

NumPy

Pandas

Scikit-Learn

TensorFlow

Matplotlib

Job description

BUSINESS_UNIT-1 AB Housing Finance Limited

BUSINESS_UNIT-2 AB Housing Finance Limited

BUSINESS_UNIT-3 AB Housing Finance Limited

DEPARTMENT-1 Analytics

Country India

State Maharashtra

Worksite G-Corp Tech Park, Thane

Function Services Operations

Skills

Skill

Data Analysis

Graduate Diploma

CERTIFICATION

Job Description

Job Purpose

Analytics Manager will assist in building Analytical models using Machine learning to help drive predictive business decisions. Role will assist in creating Visualization Dashboards using BI Tool
And deliver regular analysis using appropriate Analytics model

Job Context/Job Challenges:
Job Context
ABHFL has expanded in Emerging, and Tier I market across country given the volume of Leads, Login which have inflow we would need Analytics to identify which cases to pick and process that will reduce overall waste and Increase approval and decision rates and make system more efficient. Given the sourcing from different customer segments and category like Prime, Affordable, and Informal segment through various channels like DSA, Referral, Builders, the pricing strategy would have to be analytics driven for better conversion among different segments. Also, the collection strategy must be analytics driven which will help predict NPA, delinquency basis customer behaviours and sourcing parameters
In P&L there are cost parameters like ECL Provisioning whose impact to P&L is huge and hence these parameters need to be predicted and optimised thereby increasing overall profitability.
Key Challenges
Ability to work with stakeholders across all level understand business objectives and make sure any analysis or finding are aligned to those business objectives
Deliver Complex and regular ad-hoc analysis using appropriate Analytics model
Identify problem statement and render tangible solutioning specifically from optimisation of process, product, Sales Optimisation, commercials, underwriting method
Enabling Skill Sets & Qualifications
Understanding of Business Analytics Tool and techniques like Machine Learning, Statistics etc.
Hands on Experience in designing, developing visually appealing and easy to Use Dashboards using Power BI
Hands-on experience with Python language knowledge of libraries for Data science like NumPy, Pandas, Matplotlib, Sea-burn, Scikit-Learn, Tensor Flow
Hands on Experience in MySQL and knowledge of working with databases
Experience of 4-5 years in Home Loans, Retail Lending products or related industry.
Educational Qualification Graduate preferably in Statistics/Mathematics, Analytics, Computer Science or related fields

Key Result Areas

KRA (Accountabilities) (Max 1325 Characters)

Supporting Actions (Max 1325 Characters)

KRA1 Data Visualization Create Automated Data Visualization reports for use cases like Monitoring Daily Portfolio Movement, Customer Churn, Product Portfolio health, Collection etc. for leadership team

KRA2 Predictive Analytics Build Predictive Models for use cases like collection efficiency, delinquency, Bounce Rates, Customer Churn, ECL Provisioning, NPA, Customer Segmentation, Campaigns, Customer Behavior etc.

KRA3 Prescriptive Analytics Prescriptive Analytics for Decision Making under constraints use cases like Recovery Strategy, Cost Benefit Analysis of projects, Budget etc.

KRA4 Automated Reports Automated Activity Trackers / Business Dashboards for various functions like Sales, Risk, Finance, HR Operations etc.