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Join us at Barclays as a Data Model Developer. We’re looking for a Data Modeler to design, develop, and maintain statistical, mathematical, and machine learning models that support decision-making. In this role, you’ll translate business requirements into logical and physical data models that serve as the foundation for scalable, performance-optimised data products. You’ll work closely with the Data Product Manager and other stakeholders to ensure solutions are aligned with business goals and built for long-term success.
Job Responsibility:
Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds
Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development
Design and implementation of data management strategies for model maintenance and future development
Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation
Monitoring model performance in real-time and identify any potential issues or biases
Requirements:
Experience with the design and implementation of high-quality data models that optimise access, storage, and analysis
Managing Business as Usual (BAU) model enhancements and changes
Advanced understanding of data modelling principles and performance optimisation
Familiarity with AWS services
Ability to work with SQL, Unix, and shell scripting
Knowledge of data governance, cataloguing, and cloud storage design
Partner with business stakeholders to understand data needs and translate them into modelling specifications
What we offer:
Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
Focus on wellbeing
Big opportunities
The workplace of the future
International scale and geographic reach
Wide variety of functions, businesses, roles and locations
Chance to learn from a globally diverse mix of colleagues