Senior Analyst - Fraud Analytics

Job Description

About TransUnion:TransUnion is a global information and insights company which provides solutions that help create economic opportunity, great experiences, and personal empowerment for hundreds of millions of people in more than 30 countries. We call this Information for Good. We are a leading credit reference agency, and we offer specialist services in fraud, identity, and risk management, automated decisioning and demographics. We support organisations across a wide variety of sectors including finance, retail, telecommunications,utilities, gaming, government, and insurance.Key responsibilities:This position is responsible for developing data driven solutions through cutting-edge data science, consulting engagements, product development and research serving TransUnions clients.

• 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 modelsand business intelligence solutions of high complexity for customers within the various industries served by TransUnion.
• You will participate in client / product development engagements for DSA involving descriptive, predictive, and prescriptive aspects for a variety of business use cases leveraging multiple data science techniques.
• You will design and write programs for data extraction, segmentation, statistical / ML / AI analysis on large population datasets using languages such as R and Python. Where applicable you will work to develop such programs into packages/ libraries / workflowswhich can be shared across the TU DSA organization for the benefit of all.
• You will deliver data science driven 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.

Skills & Experience:

• Degree, Masters, or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A consistent track record of academic excellence.
• Professional experience (at least 1-2 years) performing data science within financial services or related industries (e.g., fraud, identity).
• Expertise in one or more subject-matter areas or technical disciplines that would complement and significantly enhance TransUnions existing data science capabilities. A consistent record of applying this expertise to achieve positive outcomes, and a driveto share with colleagues and business partners.
• Outstanding analytical, critical thinking, and creative problem-solving skills.
• Advanced programming skills; in-depth knowledge of R or Python; experience with other programming and data manipulation languages (e.g., SQL, C/C++, Java); proficiency with Linux and Microsoft Office tools.
• Comprehensive predictive modelling / machine learning (ML) / artificial intelligence (AI) knowledge and experience; feature generation / engineering, statistical techniques, supervised / un-supervised learning (e.g., ensemble modelling, neural networks/ deep learning).
• Keen motivation for continued professional development, keeping abreast of the latest data science / ML / AI research and techniques, alongside applications within the industries served by TransUnion, such as financial services, insurance, fraud, or digital.
• Versatile interpersonal and communication style (including presenting compelling visualizations).
• Project and time management skills, managing effectively multiple assignments within a complex, fast-paced and dynamic environment.
• Willingness to participate in client-facing consulting work (such as TUs innovation labs), developing their understanding of our capabilities and appropriate ML / AI approaches to solve key business challenges; to include some travel at times.

Whats In It For you At TransUnion you will be joining a friendly, forward thinking global business underpinned with a focus on employee well-being and engagement.As well as a competitive salary and bonus scheme our benefits package starts with 26 days annual leave + bank holidays (increasing with service), a generous contributory pension scheme, private health care and a whole host of other employee lifestyle benefits.That is in addition to a variety of physical, mental, and financial fitness well-being programmes such as lunchtime yoga, mindfulness app access and our diversity forums.Interview & Hiring Process Most of our recruitment processes are virtual, so you will get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform of this.Reasonable Adjustments If you require any reasonable adjustments to attend an interview with us, please detail this on your application.