Sr. Consultant, Data Science

Posted 7 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Develop fraud detection and monitoring solutions using machine learning, statistical modeling, exploratory data analysis, and large-scale datasets. Build dashboards, identify fraud patterns, recommend detection rules, support data mart design, and deliver reporting and documentation. Collaborate with engineering, product, risk, analytics, business, and global technology stakeholders to implement technical solutions that reduce fraud and improve customer outcomes.
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Team Overview

What We'll Bring
We are building next-generation fraud prevention and risk intelligence capabilities that help customers make confident decisions while protecting consumers and businesses from financial crime. As a Senior Data Scientist on the Fraud Analytics team, you will apply advanced machine learning, statistical modeling, and data science techniques to detect emerging fraud patterns, reduce losses, and improve customer outcomes.
You will work alongside product, engineering, risk, and analytics teams to develop innovative solutions leveraging large-scale datasets and modern AI/ML technologies. This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.

Role Overview And Core Responsibilities

How You’ll Contribute:

  • Partner with data engineer in the innovation efforts for global technical development, deployment, and maintenance of the Fraud Detection & Monitoring Program using applicable data programming languages and visualization tools
  • Collaborate with business and process owners to assess business risks, analyze data and propose hypotheses for new fraud detection and monitoring rules
  • Perform exploratory data analysis to identify patterns and behaviors indicative of potential fraud, abuse/misuse or violations, conducted by internal associates and external customer
  • Design and develop dashboards that alert on pre-defined rules and logic Collaborate with internal global stakeholders to determine needs and lead implementation of a robust reporting solution
  • Implement temporary workarounds for any breakdowns in processes
  • Work closely with the Global Technology and Data Architecture teams and provide technical design recommendations on the data mart structures that support analytical applications
  • Create user process documentation and FAQs for operational instruction as well as presentations and project plans that will be shared all levels of audiences
  • Understand TransUnion’s products/services and partner with process owners to ensure technical requirements are prioritized, developed and delivered to meet specifications that will target fraud and misuse activities

Required Knowledge And Experiences

What You’ll Bring:

  • Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent experience in related roles
  • Minimum 2 years experience  working with relational databases using SQL, Hive, Spark, Python or other data query and scripting languages
  • Knowledge of statistical analysis, regression modelling and forecasting, data mining, financial analysis, and demand modelling, using statistical softwares
  • Experience in fraud detection, fraud analytics, financial crime, payments risk, identity risk, account takeover prevention, chargeback mitigation, or related domains.
  • Demonstrated expertise in performing data engineering work within Google Cloud ecosystem (GCP),  designing and developing dashboards in visualization tools.
  • Experience in large-scale datasets, analyzing data to solve business problems, and presenting impactful insights
  • Proven strong relationship-building and communication skills with team members, business users and cross-functional stakeholder
  • Requires a complete understanding of the business intelligence development life cycle including the ability to lead collaboration discussions to gather the needs for desired outcomes for the BI solutions being built
  • Strong communication skills and willingness to take initiative and contribute to business goals and objectives

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.


Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.


TransUnion Job Title


Sr Consultant, Cybersecurity

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent related experience
  • At least 2 years of experience working with relational databases and data query or scripting languages
  • Experience with SQL, Hive, Spark, Python, or other data query and scripting languages
  • Knowledge of statistical analysis, regression modeling, forecasting, data mining, financial analysis, and demand modeling
  • Experience in fraud detection, fraud analytics, financial crime, payments risk, identity risk, account takeover prevention, chargeback mitigation, or related domains
  • Demonstrated data engineering experience within the Google Cloud Platform ecosystem
  • Experience developing dashboards using visualization tools
  • Experience analyzing large-scale datasets to solve business problems and present insights
  • Strong relationship-building, communication, collaboration, and stakeholder management skills
  • Understanding of the business intelligence development lifecycle and ability to gather requirements for BI solutions
  • Initiative and willingness to contribute to business goals and objectives

What the Team is Saying

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Sheetal Wathare
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The Company
HQ: Chicago, IL
13,000 Employees
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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Hybrid Workspace

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

Typical time on-site: Flexible
HQChicago, IL
MX
Amsterdam, NL
Bengaluru, IN
Boca Raton, FL
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Burlington, ON
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