ICB Risk Data Analytics Senior Associate

JPMorganChase; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a senior data engineering professional to translate risk data needs into scalable AWS-based transformation pipelines. You will design data models with dbt and Trino, implement data quality standards, and automate workflows with Apache Airflow.

You will collaborate with risk leads and technology teams, execute data migrations, and ensure governance across Data Quality, Data Use, and retention. Strong SQL, LookML, Python, and cloud tooling are required.

Qualifications

• 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.

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.

Skills

Analytical solution design

Data pipelines

Data modeling

Advanced SQL

Communication

Agile experience

Education

Bachelor's degree in a relevant field

Tools

dbt

Trino

SageMaker

GitHub

Python

LookML

Looker

AWS

Job description

Job Description

• 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.

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.

ABOUT US

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.

About The Team

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.