DESCRIPTION:
Duties: Analyze, evaluate and design Data and Analytics products and solutions. Assist with product development in service of solving data centric problems. Drive Proof of Concepts (POCs) and pilot projects to demonstrate conversion of legacy data into modern data formats to drive data modernization in a Data Mesh paradigm. Provide guidance and consulting to variety of product and data teams with regards to Data Modernization efforts such as legacy data identification, target state design, and modernization best practices. Define strategy and collaborate with cross functional teams to drive data modernization projects and develop execution plans and roadmaps. Help evaluate and validate modernized datasets, track data migration to the cloud and report on the progress. Structure and scope complex problems and apply a range of analytical tools to develop solutions.
QUALIFICATIONS:
Minimum education and experience required: Bachelor's degree in Electronic Engineering, Computer Science, Electrical Engineering, Computer Engineering, Data Science, Technology Management, Computer Information Systems, or in a related field of study plus seven (7) years of experience in the job offered or as Analytics Solutions, Application Architect, or related occupation.
Skills Required: This position requires experience in the following: Architecting and building high-performance data pipelines using AWS services including EC2, Lambda, S3, Glue, and Redshift; Writing Python code to transform and load datasets on the multiple petabyte scale; Designing and building ML features and ML pipelines; Designing and implementing robust data streaming solutions using Kafka to ensure low-latency, high-throughput and fault tolerant event-driven architectures; Open data formats such as JSON-LD, Graphs or RDF triples; Using Data and Analytics concepts including Data Lake, Data Mart, Vocabularies, Ontologies, Linked Data, Data Streaming, and ETL; Utilizing artificial intelligence and Machine Learning (AI/ML) to build vocabulary recommendation engines and query generation systems for financial data; and Databricks and data/centric AI principles such as Feature and ML lifecycle.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.
Job Location: 575 Washington Blvd., Jersey City, NJ 07310.
Full-Time. Salary: $170,000.00-$201,000.00 per year.
About UsChase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamOur 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.Skills Required
- Bachelor's degree in Electronic Engineering, Computer Science, Electrical Engineering, Computer Engineering, Data Science, Technology Management, Computer Information Systems, or related field
- Seven (7) years of experience in the role or as Analytics Solutions, Application Architect, or related occupation
- Architecting and building high-performance data pipelines using AWS services (EC2, Lambda, S3, Glue, Redshift)
- Writing Python code to transform and load datasets at multiple petabyte scale
- Designing and building ML features and ML pipelines
- Designing and implementing data streaming solutions using Kafka for low-latency, high-throughput event-driven architectures
- Experience with open data formats such as JSON-LD, Graphs or RDF triples
- Experience with Data and Analytics concepts including Data Lake, Data Mart, vocabularies, ontologies, Linked Data, data streaming, and ETL
- Utilizing AI/ML to build vocabulary recommendation engines and query generation systems for financial data
- Experience with Databricks and data-centric AI principles including feature and ML lifecycle
- Experience driving proofs of concept (POCs), pilots, and data modernization projects including legacy data identification and target state design
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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