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.
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 Data Science and 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.
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, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a quantitative field with at least three (3) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Experience and demonstrated success in client-facing roles over a period of at least one (1) year as well as at least one (1) year of professional experience performing analytic or data science work, preferably in identity, reputation, or fraud applications.
Strong analytical, critical thinking, and creative problem-solving skills.
Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, 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; evidence of initiative-taking.
Interest in client-facing consulting roles and ability to travel 10-20%.
What we'd prefer to see:
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
Familiarity with identity, fraud, or credit bureau data and solutions.
Familiarity with graph databases, stream computing, probabilistic data structures, or visualization tools.
Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
Work experience in SaaS or real-time solutions.
Impact You'll Make:
This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices.
You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added solutions to various TransUnion customers. These tasks will include -among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design, to development, to peer review, to client presentation, to implementation and audit.
You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services and develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.
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.