Analytics Modeling Lead

TransUnion's Job Applicant Privacy Notice

Lo que traeremos:

We aim high — and are reaching for new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability, and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the customers we serve. We believe in the power to achieve and are taking it in bold new directions.

A global leader in credit information and information management services, TransUnion gives businesses, consumers, and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world, we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our customers succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fast-moving industry. We're on an exciting journey and you can be a part of it.

Lo que traerás:

• Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence.
• At least 8 years of professional experience performing analytic work in Financial Services or related industries.
• Multiple examples of demonstrated success in client-facing roles over a period of at least 3 years.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Ability to lead data science analytics, leveraging machine learning techniques (such as decision trees, logistic regression, linear regression, and gradient boosting).
• Advanced programming skills; mastery of a statistical language such as R or Python; experience using other programming and data manipulation languages (SQL, Hive); proficiency with Microsoft Office tools.
• 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.
• Strong project management skills with the ability to manage multiple assignments effectively.
• A deep understanding of current industry challenges and trends at the level needed to proactively identify customers' analytical needs and related business opportunities.
• Ability to travel 10-20%.

Impacto que harás:

The Financial Services Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class "big data" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients. This position requires an understanding of consumer lending and credit risk management practices.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for B2B customers in the financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.
• You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., decision tree, logistic regression, linear regression, gradient boosting, and other machine learning algorithms).
• You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, SQL, and Hive.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under minimal direct supervision.
• You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

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.

Título de trabajo de TransUnion: Advisor, Data Science and Analytics

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.