Lending Data & Analytics – Applied AI/ML Engineer
Listed on 2025-12-12
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IT/Tech
AI Engineer, Data Analyst, Data Science Manager, Data Engineer
Home Lending Data & Analytics – Applied AI/ML Engineer
Join to apply for the Home Lending Data & Analytics – Applied AI/ML Engineer role at JPMorgan Chase
Are you ready to play a pivotal role in shaping the future of Data & Analytics?
As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling.
Your role will involve designing and implementing AI‑powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state‑of‑the‑art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry.
- Write and deliver high-quality code for AI‑driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
- Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies
- Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
- Fine‑tune AI models for optimal performance and efficiency, addressing any issues that arise
- Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
- Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices
- Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non‑technical stakeholders
- Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
- Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirements
- 7+ years of work experience.
- Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc.
- Proven track record of delivering projects in the AI/ML and data analytics space.
- Proficiency in Python.
- Experience with foundation LLMs (e.g., GPT‑5, Claude), RAG, Agents.
- Strong understanding of software engineering principles and practices, including version control, testing, and code optimization.
- Technical documentation experience preferred.
- Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.
Chase 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…
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