TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.

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Collections Analyst- Fixed term, 6 months

This position supports the development of credit risk management and business intelligence analytic solutions for TransUnion’s clients through consulting and research. The role involves partnering with internal and external cross-functional teams to drive new business initiatives and deliver value-added product propositions globally. Responsibilities include developing predictive risk management and business intelligence solutions for various lenders and contributing to analytic engagements using descriptive, predictive, and prescriptive analysis techniques.

Rep I - India Ops

What We'll Bring:This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.What You'll Bring:What we’ll bring:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.</li><li class="leading-relaxed">Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.</li><li class="leading-relaxed">Our culture encourages our people to hone current skills and build new capabilities while discovering their genius.</li><li class="leading-relaxed">We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.</li><li class="leading-relaxed">Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.</li></ul>What you’ll bring:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least four (3) year of professional experience performing analytic work in Financial Services or related industries</li><li class="leading-relaxed">Strong analytical, critical thinking, and creative problem-solving skills</li><li class="leading-relaxed">Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, etc.</li><li class="leading-relaxed">Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools</li><li class="leading-relaxed">Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment</li><li class="leading-relaxed">Strong project management skills with the ability to manage multiple assignments effectively</li><li class="leading-relaxed">Ability to travel 10-20%</li></ul>What we'd prefer to see:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Master’s (2 years) or PhD 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 Financial Services or related industries</li><li class="leading-relaxed">Familiarity with credit bureau data and business practices</li><li class="leading-relaxed">Experienced with Tableau or other visualization tools</li><li class="leading-relaxed">Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports.</li><li class="leading-relaxed">Operates under modest supervision in a complex and dynamic, matrixed environment</li><li class="leading-relaxed">Experienced working in a company with a global presence</li><li class="leading-relaxed">Experience with modern "big data" frameworks (Hadoop, Spark, cloud)</li></ul>Impact you’ll make:This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for TU’s B2B customers globally. This includes but is not limited to developing predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.</li><li class="leading-relaxed">You will contribute in analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).</li><li class="leading-relaxed">You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud based computing platforms.</li><li class="leading-relaxed">You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.</li><li class="leading-relaxed">You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.</li><li class="leading-relaxed">You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.</li></ul>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.

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We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.Electronic Arts is an equal opportunity employer. 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