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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:

• Bachelors degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
• 2+ years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
• Strong analytical, critical thinking, and creative problem-solving skills
• 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
• Ability to travel 10-20%

We'd Love to See:

• Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
• Familiarity with credit bureau data and knowledge of designing, developing, and deploying consumer credit models for the Financial Services industry
• Excellent understanding of machine learning techniques and algorithms such as Classification, Regression, Clustering, Gradient Boosting, Feature Engineering etc.
• Strong applied statistical skills, such as distributions, hypothesis testing, regularization, etc.
• Experience with modern "big data" frameworks (Hadoop, Spark, cloud)

Impact You'll Make:

This position is responsible for supporting the model development for marketing, credit risk management and other business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.

• 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.
• You will contribute in analytic engagements involving descriptive and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, scenario and sensitivity analysis).
• 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.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
• 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.

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.

Pay Scale Information :

The salary range for this position is $69,690.00 - $114,400.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.

 

TransUnion's Internal Job Title:

Sr Analyst, Data Science and Analytics