Senior Data Scientist - Credit Risk

| Chicago

What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re 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 or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. 
  • At least seven (7) years of professional experience within the Data Science field leveraging credit or financial services related data
  • Multiple examples of demonstrated success in client-facing roles over a period of at least three (3) years
  • Advanced programming skills; mastery of a statistical language such as R or SAS
  • Experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java)

 

We’d love to see:

  • Ability to travel 10-20%
  • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization;
  • Strong project management skills with the ability to manage multiple assignments effectively
  • A deep understanding of current industry challenges and trends at the level needed to proactively identify customers’ analytical needs and related business opportunities

 

Impact You'll Make:

  • You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, telecommunications, collections agencies and retail banks.
  • You will design and lead client engagements involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning); this will involve delegating tasks to other team members and managing the team to meet deliverables on time.
  • You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL, Hive, and Pig on Linux, PC, and mainframe 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 serve as an advisor and partner to the senior management team: proactively seek out opportunities for innovation and present new ideas and solutions on behalf of the team

 

#LI-AL1

#DICE

 

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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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • C#Languages
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PerlLanguages
    • PHPLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • SASLanguages
    • HadoopLanguages
    • TableauLanguages
    • AccessDatabases
    • HBaseDatabases
    • HiveDatabases
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • OracleDatabases
    • Google AnalyticsAnalytics
    • IllustratorDesign
    • PhotoshopDesign
    • Microsoft ProjectManagement
    • TumblrCMS
    • HubSpotCRM
    • IntercomCRM
    • Microsoft DynamicsCRM
    • SalesforceCRM
    • Campaign MonitorEmail
    • MailChimpEmail
    • Adobe CampaignLead Gen
    • MarketoLead Gen
    • Oracle EloquaLead Gen

Location

555 W Adams St, Chicago, IL 60661

What are TransUnion Perks + Benefits

Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Onsite Gym
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Child Care & Parental Leave Benefits
Generous Parental Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Volunteer Time
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Happy Hours
Recreational Clubs
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement

Additional Perks + Benefits

Start your day at TU by grabbing an Intelligentsia coffee or a tasty, hot breakfast from our onsite café. Head up to your workspace where you'll get down to business amidst the inspiring backdrop of beautiful downtown Chicago. Brainstorm onsite with team members in a variety of colorful huddle rooms or collaborate cross-functionally with our offices around the world via video conference, Skype or our intranet. Check things off your to-do list as you continually make progress on key business initiatives. Need a quick break? Challenge your colleagues to a game of ping-pong, pool, foosball, pop-a-shot or Mario Kart in one of our three onsite game rooms. Ready to hit the gym? We have one right downstairs complete with a personal trainer and a selection of free instructor-led fitness classes. Keep your energy up. Take a conference call at one of our walking or bicycle desks. Then attend the quarterly town hall to hear from the TU leadership team on progress in the current quarter and plans for the next. After a day of innovation, wind down in one of our massage chairs or join your colleagues at North Avenue for a game of league volleyball, sponsored by TU!

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