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.
Skills Required
- Bachelor's degree in a relevant field
- 7+ years of experience in Data Management, Analytics, and Visualization
- Strong hands-on experience with analytical solution design, data pipelines, and data modeling
- Advanced SQL skills, including window functions, joins, aggregations, and performance tuning
- Strong proficiency with AWS services and modern data engineering tooling
- Experience with dbt transformation, dbt expectations, Trino, Amazon SageMaker, GitHub, and Python
- Experience building scalable dbt models with incremental processing techniques
- Experience developing data quality rules using dbt expectations and reusable dbt macros
- Hands-on experience building scalable LookML models and advanced visualizations in Google Looker
- Excellent communication skills and experience working in agile environments
- Knowledge of UK and Germany retail banking products
- Knowledge of credit risk, fraud risk, and capital and credit forecasting
- Experience with Python data manipulation libraries and descriptive statistics
- Ability to prioritize and execute tasks under pressure
- Proficiency in Microsoft Office, Jira, and Confluence
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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