Senior Analyst, Data Science & Analytics

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What We'll Bring:

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®.
TransUnion is a leading credit reference agency and we offer specialist services in identity and risk management, fraud, automated decisioning and demographics. We support organisations across a wide variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance.
What we will bring:
• An agile work environment that encourages collaboration and innovation, consistently exploring new technologies and tools.
• Flexible time off and workplace flexibility within an environment that welcomes continued professional growth through support of tuition reimbursement, conferences, and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
• We are developing a new 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 Global Data Science & Analytics team is home to some of the most brilliant minds in the market, whose default setting is to share innovations, knowledge, and best practice, with strong camaraderie and support.
About the Role
You will apply your analytics and data science skills to deliver new products and services, enhance existing propositions and conduct fundamental R&D into new approaches to provide our clients best in class solutions and products, ensuring the TU business remains at the forefront of the credit industry.
Our Analytics team also provides analytics support to consultancy led sales and project deliveries, conducting detailed analysis including scorecard development and testing, ad hoc analysis and consultancy. The Senior Analyst is expected to present analysis results back to both internal and external clients and produce deliverables & supporting documentation to required standards.+

What You'll Bring:

Key Responsibilities
• 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 and business intelligence solutions of high complexity for customers within the various industries served by TransUnion.
• Develop such programs into packages/ libraries / workflows which can be shared across the TU DSA organization for the benefit of all.
• 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 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.
• This role will be required to fit well within a lively and interactive team and quickly adapt to the analytical tools and development approaches used within the business area.
• Liaise with Project Managers and Senior management to ensure analytics tasks progress to plan
• Support production of model testing and testing implementation of new analytical products, scorecards and models.
• Conduct detailed analysis, including: Scorecard development, affordability product development, portfolio review, monitoring and ad hoc analysis.
• Submit and analyse retrospective bureau data
• Present back results of analysis to internal / external clients
• Produce deliverables / support documentation to required standards

Impact You'll Make:

Skills & Experience:
• Degree, Master's Degree or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A consistent track record of academic excellence.
• Expertise in one or more subject-matter areas or technical disciplines that would complement and significantly enhance TransUnion's existing data science capabilities. A consistent record of applying this expertise to achieve positive outcomes, and a drive to share with colleagues and business partners.

Experience in fraud modelling

Experience or familiarity with unsupervised modelling techniques

Experienced working in a company with a global presence

Well versed with NLP techniques - from Statistical approaches to Transformers and exposure to LLMs

Worked with graph technology, using Machine Learning & Deep learning based approaches for modelling fraud risk.

· Experience or familiarity with unsupervised modelling techniques

· Has experience on any of the Cloud based tools : GCP/AWS/Azure using large datasets in distributed environment

· Fluent in PySpark and Python

• Experience manipulating and analysing complex raw data from multiple sources
• Good programming skills; in-depth knowledge of R or Python; experience with other programming and data manipulation languages (e.g., SQL); proficiency with Linux and Microsoft Office tools.
• Experience of working under own initiative to progress project work and work to deadlines.
• Outstanding analytical, critical thinking, and creative problem-solving skills.
• Thorough and analytical, with capability to identify and apply logic to solve problems.
• Ability to quickly adapt to the analytical tools and development approaches used within TransUnion
• Manage own workload and progress project work with limited support; Ability to multi-task
• Good communication and team working skills; Ability to manage day-to-day written and verbal communication internally and with clients
• Good time management skills (ability to multi-task)
• Attention to detail

TransUnion Job Title

Sr Analyst, Data Science and Analytics