Analyst, Data Science & Analytics

TransUnion; Pune District; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

TransUnion seeks an Analyst, Data Science and Analytics to support fraud risk management and business intelligence solutions for clients. You will collaborate with the Fraud Analytics team to develop cutting-edge fraud solutions and analyze massive datasets to deliver clear insights for internal and external stakeholders.

The role requires a quantitative Master’s or Bachelor’s degree and 1+ year of analytics experience in SaaS or related industries, with proficiency in Python and PySpark, and a

Qualifications

• Master’s or Bachelor's in a highly quantitative field with relevant analytics experience
• Experience with ML, DL, or graph-based modeling for fraud risk
• Experience with cloud platforms and large data sets in distributed environments

Responsibilities

• Support development of fraud risk management and BI analytics solutions for clients
• Collaborate with Fraud Analytics team to build fraud solutions using graph tech
• Analyze petabytes-scale datasets and present insights to clients and executives
• Identify opportunities to test and adopt TransUnion analytics products
• Foster high-performance culture and align with TransUnion brand

Skills

Python

PySpark

LLMs

NLP

Education

Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, OR related field

Master’s degree in statistics, applied mathematics, financial mathematics, engineering, OR related field

Tools

GCP

AWS

Azure

Job description

TransUnion’s Job Applicant Privacy Notice

Team Overview

At TransUnion, we’re building the next generation of Fraud Prevention, Identity, and Marketing solutions by combining AI, automation, cloud engineering, and large-scale data platforms.

Join a high-impact engineering team within our Data & Analytics organization, developing intelligent systems that help businesses detect fraud, improve customer experiences, automate decision-making, and unlock insights from data at scale.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

This position is responsible for supporting the development of fraud risk management and business intelligence analytic solutions serving TransUnion’s clients.

• You will partner with state-of -the-art Fraud Analytics team to create cutting edge fraud solutions, extensively using graph technology to combat fraud.
• You will work on unique data sets with petabytes of volume to analyze and build meaningful model solutions.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
• You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.And, at least one (1) year of professional experience performing analytic work in SaaS, Consulting or related industries.
• Worked with advanced machine learning methods.
• Fluent in Python and PySpark
• Passionate about LLMs, advanced analytics and data.

Required Knowledge and Experiences

• Master’s (2 years) in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in Financial Services or related industries
• Using Machine Learning, Deep learning or graph based approaches for modelling fraud risk.
• Has experience on any of the Cloud based tools : GCP/AWS/Azure using large datasets in distributed environment
• Experience or familiarity with unsupervised modelling techniques
• Experienced working in a company with a global presence
• Well versed with NLP techniques - from Statistical approaches to Transformers and exposure to LLMs

Required Technical Skills

• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.And, at least one (1) year of professional experience performing analytic work in SaaS, Consulting or related industries.
• Worked with advanced machine learning methods.
• Fluent in Python and PySpark
• Passionate about LLMs, advanced analytics and data.

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

Analyst, Data Science and Analytics