Consultant Data Science And Analytics Credit Risk

TransUnion LLC; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

TransUnion in Pune, India, is seeking a Senior Analytics Consultant to lead data-driven engagements across descriptive, predictive, and prescriptive analytics for U.S. lenders in the short-term market.

The role involves delivering clear insights in client-ready presentations and partnering with Sales, Product, and Analytics teams to drive value. You will design models, write scalable analytics programs using R, Python, SQL, Spark, and cloud platforms, and mentor junior researchers while

Qualifications

• Master's degree in a quantitative field with at least 5 years of professional analytic experience in financial services, consumer credit, or related industry.
• Working knowledge of consumer lending and credit risk management practices, including familiarity with credit bureau data.
• Exceptional interpersonal and communication skills for multiple levels within and outside the organization.
• Proven experience applying statistical and predictive modeling techniques to support business decisions.
• Strong project management skills in a fast-paced, matrixed environment.

Responsibilities

• Lead analytic client engagements involving descriptive, predictive, and prescriptive analysis using techniques like segmentation, logistic regression, machine learning, and scenario analysis.
• Deliver analytic insights and recommendations in succinct, compelling presentations for internal and external customers.
• Partner with cross-functional teams to identify growth opportunities and improve risk management offerings.
• Design and write programs for model development, performance monitoring, strategy evaluation, and large-scale data analysis using R, Python, SQL, Spark and cloud platforms.
• Provide mentorship to junior colleagues and manage progress across multiple initiatives with limited supervision.
• Foster a high-performance culture and uphold the TransUnion brand.

Skills

Python

R

SQL

Machine learning

Descriptive analytics

Communication

Education

Master's degree in statistics or quantitative field

Tools

Spark

Cloud platforms

Job description

Job Description:

TransUnion's Job Applicant Privacy Notice

Team Overview

The team is part of TransUnions Data Science & Analytics organization and supports lenders operating in the U.S. short-term lending market. The team delivers data-driven insights, credit risk strategies, predictive analytics, and customer-focused solutions that help clients improve portfolio performance, optimize lending decisions, and drive business growth.

The team partners closely with Sales, Product, and Analytics functions across TransUnion to develop innovative solutions, enhance customer value, and support revenue growth through analytics-led engagements.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

• Lead analytic client engagements involving descriptive, predictive, and prescriptive analysis, using techniques such as segmentation, logistic regression, machine learning, and scenario/strategy analysis.
• Deliver analytic insights and recommendations in succinct, compelling presentations for internal and external customers.
• Partner with cross-functional teams to identify growth opportunities, improve risk management practices, and support the development of value-driven analytics solutions for customers.
• Design and write programs for model development, performance monitoring, strategy evaluation, and large-scale data analysis using languages such as R, Python, SQL, Spark and cloud-based platforms.
• Provide mentorship and training to junior colleagues and manage progress across multiple initiatives under limited direct supervision.
• Foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• Support continuous innovation by evaluating emerging analytical techniques, technologies, and industry trends to enhance business outcomes

Required Knowledge And Experiences

• Master's degree in statistics, applied mathematics, financial mathematics, operations research, or another highly quantitative field, with at least five (5) years of professional experience performing advanced analytic work in financial services, consumer credit, or a related industry.
• Working knowledge of consumer lending and credit risk management practices, including familiarity with credit bureau data and business practices.
• Exceptional interpersonal and communication style, with the ability to communicate effectively at multiple levels within and outside the organization.
• Proven experience applying statistical and predictive modeling techniques to support business decision-making and measurable customer outcomes.
• Strong project management skills, with ability to manage competing priorities and deliver results in a fast-paced, collaborative, and matrixed environment.

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Consultant, Analytics Consulting