Senior Associate - Risk Data Analytics

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a mid-to-senior data analytics professional to translate business needs into robust data requirements and scalable AWS-based pipelines. You will design data models with dbt and Trino, implement data quality rules, and automate processing via Airflow.

Responsibilities include data migrations, governance across data quality and retention, and collaborating with risk leads, data owners, and tech teams. Strong SQL, Python, Looker, and AWS experience are essential.

Qualifications

• Bachelor’s degree in a relevant field.
• 7+ years of experience in Data Management, Analytics, and Visualization.
• Strong SQL skills including window functions, joins and aggregations.
• Proficient with AWS services and data engineering tooling (dbt, Trino, SageMaker).
• Experience building scalable dbt models with incremental processing and data quality rules.
• Hands-on in building LookML models and visualizations in Looker.
• Excellent communication and agile experience.

Responsibilities

• Collaborate with stakeholders to translate business needs into data requirements and analytical solutions.
• Design, develop, and maintain AWS-based data pipelines and data models (dbt, Trino).
• Implement data quality standards and dbt expectations for consistent data governance.
• Create and manage Apache Airflow workflows for automated processing and reliable scheduling.
• Execute data migrations with planning, validation, reconciliation and controlled delivery.
• Ensure governance across Data Quality, Data Protection, Data Use, and Retention & Destruction per BCBS 239.

Skills

SQL

Python

dbt

Trino

Airflow

LookML

Looker

AWS

SageMaker

GitHub

Education

Bachelor's degree

Tools

dbt

Trino

Airflow

Looker

LookML

SageMaker

GitHub

Job description

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. 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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level Mid Level