DirecciónWhat We'll Bring : About TransUnion :
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 major 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.
What You'll Bring :
We’re looking for a Data Manager to join our growing team.Lead the Data, Data Science, and the Decisioning Services practices.
Collaborates in General Management activities
Data Science : establishes, plans, and executes the overall policies and goals of the data science function.
Data : provides strategic guidance and overall direction for analytical efforts. Determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results.
Decisioning services : acting as product owner.
At TransUnion we’re happy to talk flexible working, both in terms of location and hours. We operate a hybrid model allowing you to explore the balance of work from home or from our office in Madrid, Spain.
What You'll Bring :
Day to Day You’ll Be :
Directs multiple initiatives involving analytic professionals and data scientists in the design, development, and implementation of custom solutions and products for both external and internal customers
Responsibilities include independent execution of the full range of personnel-related functions (talent acquisition and pipeline management, training, development, goal setting, and performance management) and business functions (revenue planning, budgeting, capacity planning, resource allocation, project management, work measurement, management reporting, and M&A support)
Develop a global data management framework and coordinate with TU Legal to help make global compliance a competitive advantage
Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of fraud use cases, maintaining a complete data dictionary, and publishing relevant insights.
Apply data science and machine learning methods to proactively interrogate the repository to identify and derive features associated with relevant fraud behaviors, both within and across sources, and including outcomes
Develop features, models, and templates that support customers’ need to maximize fraud capture and conversion (and ultimately profitability), using relevant supervised and unsupervised machine learning methods, in collaboration with the Fraud organization and other stakeholders (potentially including vertical-specific models)
Support efforts to productionalize analytic code, automate relevant processes, architect model deployment paths, and develop new revenue-generating services in collaboration with Technology
Support Sales in demonstrating efficacy and value, arming client-facing Associates with tools to help drive adoption and revenue, and collaborate with a data-driven perspective in defining TU pricing
Engage directly with external customers as needed to support strategic opportunities and refine our understanding of key requirements
Support tighter integration of analytic and production workflows (e.g., capturing performance for analytic purposes, enabling models in an adaptive control setting, developing models on dynamic or streaming data)
Adopt and enforce use of common frameworks for efficient development and deployment of solutions that have global applicability
Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors’ offerings
Evangelize the team’s unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing.
Impact You'll Make :
Essential Skills & Experience :
Ten (10) or more years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry
Five (5) or more years in progressively more challenging team management and leadership roles.
Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field.
A track record of academic excellence.
Extensive management / leadership experience in product acquisition and management (P&L ownership preferred), product strategy, marketing analytics, and business development.
Solid experience within aligned industry sector required
Ability to effectively develop relationships, engage, advice, and persuasively communicate with select clients and functional area heads in face-to-face scenarios demonstrating real-time insight, flexibility and sound judgment
Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting (including rare event modeling, anomaly detection, and transaction analytics)
Proficiency in one or more analytic languages (R, Python)
Proven ability to architect and engineer machine-learning pipelines with online / real-time features
Current knowledge of and strong interest in identity fraud trends and dynamics.
Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches.
Proficiency in one or more general-purpose programming languages (C / C++, Java), follows software engineering best practices to generate performant and implementable code
Experience manipulating large datasets in SQL
Experience with cloud computing (AWS, Azure, GCP)
Experience serving highly regulated industries
Familiarity with credit bureau data and business practices
Essential Skills & Experience :
Impact You'll Make :
What’s In It For you?
At TransUnion you will be joining a friendly, forward thinking global business.
We’re happy to talk flexible working. We operate a hybrid model allowing you to explore the balance of work and hours from home and / or from our Madrid.
TransUnion a place to grow :
We know that you may not possess every aspect of the essential and / or desirable skills listed above but if there’s something you can’t tick off, don’t let that put you off applying as we could explore training for you.
Interview & Hiring Process
Most of our recruitment processes are virtual, so you’ll 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.
LI-Hybrid
TransUnion Job Title
Acquisition Exempt, Acquired Associate
