Sr. Consultant, Data Science

What Well 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.

• 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

• 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

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