ICB Risk Data Analytics Senior Associate

Job Responsibilities
Collaborate with stakeholders (risk leads, risk data owner, technology teams) to translate business needs into data requirements and analytical solutions.
Analyze and interpret new data, build transformation pipelines on AWS, and design, develop, and maintain data models using dbt and Trino, develop data quality rules using dbt expectation, create and maintain airflow jobs, ensuring data quality and consistency along with automating key processes.
Responsible for data migrations and will operate key governance controls across Data Quality, Data Protection, Data Use, and Data Retention & Destruction, aligned to BCBS 239 principles.
Adhere to governance processes for analytical solutions and stay updated on industry trends and best practices in data and visualization.
Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in a relevant field and 7+ years of experience in Data Management, Analytics, and Visualization.
Strong hands-on experience with analytical solution design, data pipelines, data modeling, and advanced SQL (window functions, joins, aggregations, performance tuning).
Proficiency with AWS tools (Redshift, SageMaker), GitHub, dbt, and writing data quality rules for accurate reporting.
Hands-on in building scalable LookML models and advanced visualizations in Google Looker, with the ability to understand risk reporting needs and translate data into actionable insights using effective data visualization techniques
Excellent communication skills, experience in agile environments, and.
Additional Skills, Experience and Qualifications
Knowledge of UK & Germany Retail Banking Products, Credit Risk, Fraud Risk, Capital & Credit Forecasting.
Experience with Python and data manipulation libraries, and understanding of descriptive statistics concepts.
Highly self-motivated, able to prioritize and execute tasks under pressure.
Proficiency in MS Office suite, JIRA, and Confluence.