Roles and Responsibilities :

• Write high-quality code in Python and SQL to extract, transform and analyze
• Visualize various types of data using Power BI & Tableau, constructing robust pipelines to combine multiple source.
• Create, build and maintain analytical tools through programming to generate insight, recognize patterns and predict behavior.
• Experiment and identify with various analytical methods\techniques best suited to data challenges.
•  Respond to ad-hoc requests and communicate the results of any analysis, trends, and MI to a range of audiences whilst effectively managing your workload.
• Have an active interest in all aspects of technological infrastructure – suggesting and helping to deliver concepts for more efficient processing across multiple technical disciplines.
• Develop an understanding of Financial Crime preventative measures, systems, and operational processes within Barclays.
• Support the delivery of automation initiatives in-line with the wider Group strategy.

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.