AVP - DSA Consumer Modeling

Posted 10 Days Ago
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World Trade Center, Yeshwanthpur, Bengaluru Urban, Karnataka
Hybrid
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Lead and mentor junior team members to produce high-quality deliverables within demanding timelines. Build generic and custom predictive solutions that solve critical business issues. Leverage 360-degree data sources in predictive solutions and work with internal and external stakeholders to define project plans and methodologies. Contribute to team's research and development efforts on innovative analytics methodologies. Improve and implement best practices in coding and model building.
Summary Generated by Built In

TransUnion's Job Applicant Privacy Notice
What We'll Bring:
At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things.
Every day TransUnion offers our employees the tools and resources they need, to find ways information can be used in diverse ways. Our mission is to see the story beyond the data and provide insights that allows people to truly lead better lives.
Whether it's helping businesses grow their bottom-line without compromising on risk, providing solutions so consumers get the required credit to fulfil their dream of a house, pursue education, buy desirable consumer durables on the spot or simply helping entrepreneurs make their mark, we are improving the quality of life for individuals, businesses and communities. We call this Information for Good.
What You'll Bring:
Roles & Responsibilities• Lead & mentor junior team members to produce high quality deliverables within demanding timelines.• Build generic predictive products which solve critical business issues of all the market players.• Build custom predictive solutions that solve critical business issues of clients.• Build predictive solutions across the value chain of lending business - acquisition, underwriting, portfolio management, and collections.• Leverage 360 degree data sources in predictive solutions - credit data, banking data, and alternate data.• Build solutions to monitor the performance of predictive solutions.• Work with internal & external senior stakeholders on defining the project plan, scope, methodology, and expected business impact of the solutions.• Articulate and communicate results and recommendations along with technical documentation.• Contribute to team's R&D efforts on innovative analytics methodologies, products and data sources.• Improve and implement best practices with respect to coding, model building and documentation.• Demonstrate self-driven initiatives to learn new techniques/technologies to stay ahead of the curve.
Impact You'll Make:
Experience and Skills• Bachelor's degree in engineering / analytics / mathematics / statistics / economics• Master's degree in similar fields will be an advantage• 8+ years of modeling experience• Experience of leading data science projects & teams• Extensive experience with predictive modeling in the lending side of the banking industry. Experience with Indian banking will be an advantage.• Strong proficiency in tools and technologies such as R, Python, Spark, Hive, and SQL. Exposure to the deployment process of predictive models will be an advantage.• Self-starter, ability to work independently, handle ambiguous situations and exercise judgement in variety of situations.• Strong communication, organizational, verbal & written skills.• High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.
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.
TransUnion Job Title
Sr Consultant, Data Science and Analytics

Top Skills

Hive
Python
R
Spark

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
The Company
HQ: Chicago, IL
13,000 Employees
Hybrid Workplace
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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