ICB Risk Data Analytics Senior Associate
JPMorgan Chase · Bangalore, India · 11d ago
SeniorOn-siteData & Analytics
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
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:
- 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).
- 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.