Consultant (Credit Risk Modelling), Data Science & Analytics

Posted 23 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Support the development of credit risk management and business intelligence solutions through consulting engagements and research for clients. You'll leverage advanced analytics and machine learning techniques to deliver insights and recommendations for financial services.
Summary Generated by Built In

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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’s clients.

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. And, at least four (6) year of professional experience performing analytic work in Financial Services or related industries
• Strong analytical, critical thinking, and creative problem-solving skills
• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting, etc.
• 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
• 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:
• Master’s (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
• 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, 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).
• 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.

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.

TransUnion Job Title

Consultant, Data Science and Analytics

Top Skills

C/C++
Hadoop
Hive
Java
Pig
Python
R
Spark
SQL
Tableau

What the Team is Saying

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Tiana
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Lauren
TC
Jay
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The Company
HQ: Chicago, IL
13,000 Employees
Hybrid Workplace
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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TransUnion Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQChicago, IL
Alpharetta, GA
Amsterdam, NL
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