Job Description

TransUnion\'s Job Applicant Privacy Notice What We\'ll Bring: This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion\xe2\x80\x99s clients. What You\'ll Bring: What we\xe2\x80\x99ll bring: \xe2\x80\xa2 A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. \xe2\x80\xa2 Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. \xe2\x80\xa2 Our culture encourages our people to hone current skills and build new capabilities while discovering their genius. \xe2\x80\xa2 We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. \xe2\x80\xa2 Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we\xe2\x80\x99ll appreciate them. What you\xe2\x80\x99ll bring: \xe2\x80\xa2 Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least four (3) year of professional experience performing analytic work in Financial Services or related industries \xe2\x80\xa2 Strong analytical, critical thinking, and creative problem-solving skills \xe2\x80\xa2 Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, etc. \xe2\x80\xa2 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 \xe2\x80\xa2 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 \xe2\x80\xa2 Strong project management skills with the ability to manage multiple assignments effectively \xe2\x80\xa2 Ability to travel 10-20% What we\'d prefer to see: \xe2\x80\xa2 Master\xe2\x80\x99s (2 years) or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in Financial Services or related industries \xe2\x80\xa2 Familiarity with credit bureau data and business practices \xe2\x80\xa2 Experienced with Tableau or other visualization tools \xe2\x80\xa2 Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports. \xe2\x80\xa2 Operates under modest supervision in a complex and dynamic, matrixed environment \xe2\x80\xa2 Experienced working in a company with a global presence \xe2\x80\xa2 Experience with modern "big data" frameworks (Hadoop, Spark, cloud) Impact you\xe2\x80\x99ll 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\xe2\x80\x99s clients. \xe2\x80\xa2 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\xe2\x80\x99s 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. \xe2\x80\xa2 You will contribute in analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis). \xe2\x80\xa2 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. \xe2\x80\xa2 You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. \xe2\x80\xa2 You will identify strategies and opportunities for customers to test and adopt TransUnion\xe2\x80\x99s analytic products and services. \xe2\x80\xa2 You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Impact You\'ll Make: TransUnion Job Title Sr Analyst, Data Science and Analytics