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About the role
Applied AIML, Senior Associate
Jersey City, NJ, United States and 1 more
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Job Information
- Job Identification210765683
- Job CategoryPredictive Science
- Business UnitAsset & Wealth Management
- Posting Date07/06/2026, 05:06 PM
- Locations575 Washington Blvd, Jersey City, NJ, 07310, US
- Job ScheduleFull time
- Base Pay/SalaryJersey City,NJ $128,250.00-$195,000.00
Job Description
As a Senior Applied AI/ML Associate within our dynamic team of innovators and technologists, you will revolutionize how the Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities
- Build and maintain end-to-end batch and streaming data pipelines (ingestion → transformation → curation → serving) on AWS.
- Develop scalable transformations using Spark (PySpark/Scala) and SQL, optimizing for performance, reliability, and cost. Implement and optimize Snowflake solutions (schemas, tables, views, micro-partitioning/clustering considerations, warehouse sizing, query tuning, data sharing patterns where applicable).
- Understanding of data models for enterprise analytics (dimensional/star schemas, normalized models; applying standard banking data concepts where relevant). Create robust orchestration and scheduling (e.g., Airflow/MWAA, AWS Step Functions, etc.) with monitoring, alerting, retries, and operational runbooks.
- Ensure data quality through validation checks, reconciliation, and controls (e.g., completeness, timeliness, accuracy, deduplication). Implement security and governance controls suitable for banking: encryption, least-privilege access, auditability, data retention, and lineage/documentation.
- Collaborate with stakeholders across technology, risk, compliance, analytics, and product to translate requirements into reusable, well-defined datasets and support production operations: incident triage, root-cause analysis, performance tuning, and continuous improvement of pipeline stability.
- Utilize AI-powered tools and large language models (LLMs) to accelerate data pipeline development, automate code generation, and streamline debugging and documentation processes. Apply AI-driven techniques for data quality validation, anomaly detection, and automated data profiling to ensure the integrity and reliability of data assets.
- Collaborate with data science and ML teams to design, build, and maintain scalable data infrastructure that supports the training, deployment, and monitoring of AI/ML models. Continuously evaluate and adopt emerging AI technologies to optimize ETL workflows, reduce manual effort, and enhance overall engineering productivity.
Required qualifications, capabilities, and skills
- Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
- Strong SQL skills (complex joins, window functions, query optimization, performance troubleshooting) and experience with AWS data services and cloud-native patterns (e.g., S3, IAM, KMS, Glue, Lambda, EMR, Step Functions, Kinesis/MSK—relevant mix).
- Solid understanding of data modeling and how model choices impact performance, usability, and governance.
- Practical experience with Snowflake (data loading, transformations, optimization, access controls). Proficiency in Python (or equivalent) for pipeline development, automation, and testing.
- Experience with Git and CI/CD practices; familiarity with engineering standards for code reviews and automated testing.
Preferred qualifications, capabilities, and skills
- Prior experience of developing solutions for Financial domain
- Exposure to distributed model training, and deployment
- Familiarity with techniques for model explainability and self-validation
- 3+ years of hands-on experience in Data Engineering (preferably in banking/financial services or other regulated environments).
- Hands-on development experience with Spark (PySpark preferred) for large-scale processing.
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 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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
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