Senior Analyst, Data Science and Analytics(Credit Risk)

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What We'll Bring:

What You'll Bring:

What we’ll bring:
• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Our culture encourages our people to hone current skills and build new capabilities while discovering their genius.
• 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.
• 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’ll appreciate them.
What you’ll bring:
• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.
• Strong analytical, critical thinking, and creative problem-solving skills
• Strong 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
• 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
• Strong project management skills with the ability to manage multiple assignments effectively
• Ability to travel 10-20%
What we'd prefer to see:
• 6+ months of professional experience/ internships performing analytic work in Financial Services or related industries
• Familiarity with credit bureau data and business practices
• Experienced with Tableau or other visualization tools
• Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports.
• Operates under modest supervision in a complex and dynamic, matrixed environment
• Experienced working in a company with a global presence
• Experience with modern "big data" frameworks (Hadoop, Spark, cloud)
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.
• 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.
 

Impact You'll Make:

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.

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