Location: Bengaluru, Karnataka, India

Job Responsibilities

• Collaborate with stakeholders (risk leads, risk data owner, technology teams) to translate business needs into data requirements and analytical solutions.
• Analyse and interpret new data sources to design, develop, and maintain scalable AWS-based transformation pipelines and high-quality data models (dbt and Trino), implement and govern consistent data quality standards (including dbt expectations), and create and operate Apache Airflow workflows to automate processing with reliable scheduling, orchestration, monitoring, and end-to-end assurance of data quality and consistency across pipelines, models, and downstream consumption.
• Responsible to execute data migrations, ensuring appropriate planning, validation, reconciliation, and controlled delivery aligned to governance and risk requirements.
• 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:

• Bachelors 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).
• Strong proficiency with AWS services and modern data engineering tooling, including dbt transformation, dbt expectations, Trino, Amazon SageMaker, GitHub, and Python.
• Strong experience to build scalable dbt models using multiple incremental processing techniques to enable efficient and reliable data loading at scale, developing data quality rules using dbt expectations and reusable dbt macros to support consistency, maintainability, and auditability.
• Hands-on in building scalable LookML models and advanced visualizations in Google Looker.
• Excellent communication skills, experience in agile environments.

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.

As part of Risk Management and Compliance, you play a key role in keeping JPMorganChase strong and resilient by anticipating risks and solving real-world challenges that impact the company, customers, and communities. The team values innovative thinking, challenging the status quo, and striving for best-in-class solutions, supporting the firms digital transformation strategy to enhance customer engagement and satisfaction. In this Strategic Analytics Associate role, you will contribute to the ICB Risk Customer Analytics CoE team by building analytical data layers and generating insightful analytics to support risk criteria development, operational controls, and performance monitoring for Chase UK and Germany. This position is ideal for individuals who excel in fast-paced, collaborative environments and can leverage strong analytical, business, and communication skills to drive impactful results.