Lead Data Scientist, Fraud

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What Well Bring:At TransUnion, we strive to build an environment where
our associates are in the drivers seat of their professional development,
while having access to help along the way. We encourage everyone to pursue
passions and take ownership of their careers. With the support of colleagues
and mentors, our associates are given the tools needed to get where they
want to go. Regardless of job titles, our associates have the opportunity to
learn new things and be a leader every day.

Come be a part of our team – youll work with great people, pioneering
products and cutting-edge technology.

The Lead Data Scientist, Fraud will be responsible for the development of
analytic solutions through consulting engagements for TransUnions clients
across a broad array of credit, fraud, insurance and marketing business
applications. This position in depth knowledge of data science and
understanding of fraud risk management practices.

What Youll Bring:
Masters or PhD degree (statistics, applied mathematics, financial
mathematics, computer science, engineering, operations research, or
other highly quantitative) with 3 years of experience or bachelors
degree with 7 years of experience
3 years of experience directly supporting internal or external clients
analytically, preferably in industries served by Transunion
Strong critical and creative thinking and willingness to take initiative in
problem-solving
Demonstrated interest and proven career path in industries served by
TransUnion, such as financial services, insurance, fraud, and digital
marketing.
Advanced programming skills and aptitude (R or Python, SQL, Hive,
Spark, C/C, Java, Ab Initio)
Strong project and time management skills to lead multiple complex projects
simultaneously with limited supervision in a collaborative and fast-paced
environment
Excellent business acumen and versatile interpersonal skills to communicate
effectively at multiple levels within a complex and dynamic matrix
organization.
Proven ability to translate technical concepts into articulate actionable
recommendations in a manner that is suitable to influence business partners
and decision-makers inside and outside towards desired outcomes

Wed Love to See:
Familiarity with identity, fraud, security, or credit bureau data and
solutions
3 years of experience applying predictive analytics, machine learning,
simulation, and optimization techniques to generate management insights and
enable customer-facing applications
The desire to work on full-stack data science solutions and engage in
continuous learning
Experience processing large amounts of semi-structured (esp. JSON) and
unstructured data
Experience in industries served by TransUnion, such as financial services,
insurance, and digital marketing
Work experience in SaaS or real-time solutions

Impact Youll Make:
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
TransUnions 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.
You will design, write, and test programs for data extraction,
segmentation and statistical analysis on large population datasets using
languages such as R, Python, SQL, Hive and Spark, formalizing some of
these efforts into repeatable process improvements.
You will deliver analytic insights and recommendations in succinct and
compelling presentations for internal and external customers representing a
wide range of backgrounds and levels. You will foster a high-performance
culture and cultivate an environment that promotes excellence and reflects the
TransUnion brand.

The application window for this job posting is estimated to close on
Wednesday, October 23rd, 2024. Job postings may come down early or be
extended due to business need or volume of applicants.

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.

Benefits:
TransUnion provides flexible benefits including flexible time off for exempt
associates, paid time off for non-exempt associates, tuition