Data Science

4 weeks ago

Chicago, United States TransUnion Full time

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What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

  • Master's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
  • 3+ years of experience performing analytic work in Financial Services, consumer credit, or a related industry
  • Advanced programming skills (R, SQL, Hive, Pig and Python)
  • Strong analytical, critical thinking, and creative problem-solving skills
  • Proven project management skills with the ability to manage multiple assignments effectively
  • Ability to travel 10-20%

We'd Love to See:

  • Ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment
  • Familiarity with credit bureau data and solutions
  • Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing

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.

  • Assist in the creation and maintenance of model risk management policies, procedures, and guides establishing and reinforcing the model risk management framework.
  • Collect and maintain all supporting model documentation from model developers for validation.
  • Respond to documentation requests from client, regulators or internal auditors, including the delivery of appropriate TransUnion documentation and the completion of client-specific documentation while balancing the protection of TransUnion's intellectual property.
  • Collaborate with model developers and other stakeholders (e.g., Legal and Compliance) to streamline the model governance process including the creation of relevant templates and standard documentation verbiage.
  • Maintain the model inventory including recommending and implementing enhancements as appropriate.
  • Create and manage the annual model validation plan and ensure timely completion.
  • Develop, maintain, and present model risk management training materials to key stakeholders.
  • 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.
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.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion's Employee Resource Groups.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

TransUnion's Internal Job Title:

Sr Analyst, Data Science and Analytics

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