Manager - Data Science

HDB Financial Services Ltd.; Mumbai; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A leading financial services company in Mumbai seeks a data analyst to transform raw data into actionable insights. The ideal candidate will develop predictive models and support data-driven decisions. Candidates should possess a degree in Statistics or Mathematics and have 4-5 years of statistical modeling experience. Proficiency in Python, R, SQL, and tools like Power BI or Tableau is essential. Strong communication and problem-solving skills are highly valued.

Qualifications

• Degree in Statistics / Mathematics / Economics with finance background is preferred.
• 4-5 years of experience in statistical modeling.
• Proficiency in Python, R, SAS, MATLAB, and SQL.

Responsibilities

• Analyze large datasets to identify trends and opportunities.
• Develop and deploy machine learning models for various applications.
• Collaborate with teams to translate requirements into data solutions.
• Design and implement data pipelines and ETL processes.
• Communicate findings via dashboards and reports.

Skills

Statistical modeling

Python

R

SQL

SAS

MATLAB

Power BI

Tableau

Communication

Problem-solving

Education

Degree in Statistics / Mathematics / Economics

Job description

JOB ROLE

• Transforming raw data into actionable insights, building predictive models, and supporting data-driven decision-making across the organization.
• Review Scorecard Performance - Model Outcome Analysis, Assumptions and model limitation, back testing.
• Inventory of Models, BRE rules for the model
• Build statistical model for predicting ECL movement
• Model the portfolio performance of all products pre scorecard deployment and post scorecard deployment.
• Build model for collection flows and estimation of portfolio performance.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and opportunities for business growth and portfolio monitoring.
• Develop and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Design and implement data pipelines and ETL processes.
• Communicate findings through dashboards, reports, and presentations using tools like Power BI, Tableau, or Python visualizations.
• Build statistical model / scorecards
• Can do independent - statistical validation of scorecards
• Analyse reason for portfolio movement - Highlighting key changes in portfolio (basis model performance)
• Create model for predicting - various parameters - ED movement / Probable ED flows, Tracking Write Off movement, recovery trends and probable losses - modelling them for predicting future performance.

Mandatory Skills Required

• Degree in Statistics / mathematics / economics with finance background will be an added advantage.
• Prior experience of statistical modelling for 4-5 Years
• Proficiency in python /R /SAS /MATLAB / & SQL

Desirable Skills

• Excellent communication and problem-solving skills.
• Strong understanding of statistical methods and data modeling.
• Power BI, Tableau, or Python visualizations.
• Stay updated with the latest developments in data science and AI.