Managers

TransUnion; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Telecommuting permitted

Job summary

TransUnion seeks an experienced Manager to oversee analytics operations for mortgage and tenant screening across multiple U.S. worksites. You will lead a team of data science consultants and drive predictive modeling initiatives.

The role involves designing models using SQL, R, SAS, Python, and visualization tools, while advising clients on policy changes in response to market shifts. Telecommuting is permitted.

Qualifications

• Master's degree plus 2 years of experience in analytics consulting or data modeling.
• Bachelor's degree plus 5 years of progressive experience in analytics consulting or data modeling also acceptable.
• Experience leading data science consultants and analytics teams.

Responsibilities

• Oversee analytics service operations for mortgage and tenant screening.
• Design and develop predictive models and scoring systems.
• Mentor and train direct reports; provide guidance to teams.
• Advise clients on policy and account changes based on models.

Skills

Data analysis

Team leadership

Mentorship

Stakeholder collaboration

Education

Master's degree in Computer Science / MIS / Business Analytics

Bachelor's degree in Computer Science / MIS / Business Analytics

Tools

SQL

R

SAS

Python

Tableau

Spotfire

Knime

Alteryx

Regression Analysis

Classification

Decision Trees

Job description

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices We'd Love to See:

Job Description Managers for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants.

Design and develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models, including decision trees and scorecards. Generate insights using data query software such as SQL and Tableau. Recommend policy and account changes to customers in response to predicted changes in market and economic environments. Develop and deploy software for compiling licensed residential housing data and use compiled data to create derivative products. Provide training and mentorship to direct reports.

Technical Environment: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.

Job Requirements

• Master's degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 2 years of experience in the job offered, as a Consultant, or in Statistical Data Modeling required.
• Bachelor's degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 5 years of progressive experience in the job offered, as a Consultant, or in Statistical Data Modeling also acceptable.

Telecommuting permitted.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position.

Beware of scams tied to potential career opportunities. If you received a link, email, text or social media communication you weren't expecting from TransUnion, take a moment to confirm the relevant information. Be wary when providing personal information. Contact [e-mail] or [phone] for assistance. View TransUnion's Job Applicant Privacy Notice

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.