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Bulge Bracket Investment Banks
Applied AI Data Science Lead, Focused Analytics Solutions Team (FAST)
at J.P. Morgan
Tech LeadNo visa sponsorshipData Science/AI/ML
Posted a month ago
No clicks
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Lead delivery of AI and machine learning solutions (including GenAI/LLMs) for CCB in a consulting-style environment, driving prototyping, production deployments, and rigorous controls. Build and mentor high-performing teams, cultivate stakeholder relationships across the business, and translate insights into scalable tools and processes. Ensure responsible AI, monitoring/observability, and compliance while fostering talent development and collaboration.
Location: New York, NY, United States
Join us in shaping the future of AI and data science! As part of the Focused Analytics Solutions Team (FAST), you’ll accelerate innovation and deliver impactful solutions in a consulting-style environment. We offer mentorship, resources, and a collaborative environment where diverse perspectives drive breakthrough results. Grow your career with us and help define the future of AI & data science within CCB.
As an Applied AI Data Science Lead, you will drive delivery of innovative solutions, while will fostering a culture of collaboration and excellence, including an emphasis on talent development. You’ll work closely with internal clients and partners across CCB, set standards of excellence, and help build a unique environment for AI and data science innovation. Your work will directly impact the firm and our customers, while providing opportunities for professional growth and development.
You’ll have the opportunity to work with experts across disciplines, build relationships with senior leads across CCB, and contribute to a team that values both traditional and non-traditional career paths. We are committed to providing all team members with the mentorship, resources, and networks needed to succeed. If you thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply. 
Job responsibilities
- Drive delivery of innovative solutions to complex business problems, with a focus on AI (including GenAI) and machine learning (e.g., deep learning, neural networks) solution developmentDevelop and execute test-and-learn frameworks for rapid prototypingTranslate insights into tools, processes, and strategies for the firmCultivate strong relationships with internal clients and senior leaders across CCBFoster a culture of collaboration and excellence that empowers colleagues to share ideas and solve complex problems, with an emphasis on talent developmentRecruit, develop, and retain talent through open communication and learningSupport initiatives that foster growth and opportunity for all team membersMaintain a rigorous controls environment for accurate and timely resultsRequired qualifications, capabilities, and skills
- Demonstrated mastery of data science techniques (e.g., descriptive, inferential, and causal statistics, model optimization) and machine learning (e.g., deep learning, neural networks, and generative AI)Hands-on experience deploying Large Language Model (LLM) applications in production environments, including designing, building, and maintaining LLM-based solutions at scaleFamiliarity with best practices for monitoring, observability, and responsible AI in productionTrack record of mentoring and coaching talent, with experience building high-performing, collaborative teamsExperience working across disciplines, sectors, or culturesExcellent communication skills, with an ability to communicate to diverse audiences (e.g., technical / non-technical)Experience navigating regulated, complex technology environmentsProficiency in Python, R, C++, Julia, or MatlabPreferred qualifications, capabilities, and skills
- PhD or equivalent experience in a quantitative, computational, or social science disciplineDemonstrated impact through publications, patents, open-source contributions, or significant project outcomesSolid understanding of cloud architecture (AWS, GCP, Azure)Experience with containerization, orchestration, and CI/CD pipelines for ML/AI workloads
If you are passionate about building innovative AI solutions, have a proven track record of deploying LLMs in production, and thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply.
***Relocation assistance is not available for this role.
Develop and executes actionable data science and analytical solutions in a consulting-style environment
Applied AI Data Science Lead, Focused Analytics Solutions Team (FAST)
at J.P. Morgan
Back to all Data Science / AI / ML jobsBulge Bracket Investment BanksApplied AI Data Science Lead, Focused Analytics Solutions Team (FAST)
at J.P. Morgan
Tech LeadNo visa sponsorshipData Science/AI/MLPosted a month ago
No clicks
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Lead delivery of AI and machine learning solutions (including GenAI/LLMs) for CCB in a consulting-style environment, driving prototyping, production deployments, and rigorous controls. Build and mentor high-performing teams, cultivate stakeholder relationships across the business, and translate insights into scalable tools and processes. Ensure responsible AI, monitoring/observability, and compliance while fostering talent development and collaboration.
Location: New York, NY, United States
Join us in shaping the future of AI and data science! As part of the Focused Analytics Solutions Team (FAST), you’ll accelerate innovation and deliver impactful solutions in a consulting-style environment. We offer mentorship, resources, and a collaborative environment where diverse perspectives drive breakthrough results. Grow your career with us and help define the future of AI & data science within CCB.As an Applied AI Data Science Lead, you will drive delivery of innovative solutions, while will fostering a culture of collaboration and excellence, including an emphasis on talent development. You’ll work closely with internal clients and partners across CCB, set standards of excellence, and help build a unique environment for AI and data science innovation. Your work will directly impact the firm and our customers, while providing opportunities for professional growth and development.You’ll have the opportunity to work with experts across disciplines, build relationships with senior leads across CCB, and contribute to a team that values both traditional and non-traditional career paths. We are committed to providing all team members with the mentorship, resources, and networks needed to succeed. If you thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply.Job responsibilities- Drive delivery of innovative solutions to complex business problems, with a focus on AI (including GenAI) and machine learning (e.g., deep learning, neural networks) solution developmentDevelop and execute test-and-learn frameworks for rapid prototypingTranslate insights into tools, processes, and strategies for the firmCultivate strong relationships with internal clients and senior leaders across CCBFoster a culture of collaboration and excellence that empowers colleagues to share ideas and solve complex problems, with an emphasis on talent developmentRecruit, develop, and retain talent through open communication and learningSupport initiatives that foster growth and opportunity for all team membersMaintain a rigorous controls environment for accurate and timely resultsRequired qualifications, capabilities, and skills
- Demonstrated mastery of data science techniques (e.g., descriptive, inferential, and causal statistics, model optimization) and machine learning (e.g., deep learning, neural networks, and generative AI)Hands-on experience deploying Large Language Model (LLM) applications in production environments, including designing, building, and maintaining LLM-based solutions at scaleFamiliarity with best practices for monitoring, observability, and responsible AI in productionTrack record of mentoring and coaching talent, with experience building high-performing, collaborative teamsExperience working across disciplines, sectors, or culturesExcellent communication skills, with an ability to communicate to diverse audiences (e.g., technical / non-technical)Experience navigating regulated, complex technology environmentsProficiency in Python, R, C++, Julia, or MatlabPreferred qualifications, capabilities, and skills
- PhD or equivalent experience in a quantitative, computational, or social science disciplineDemonstrated impact through publications, patents, open-source contributions, or significant project outcomesSolid understanding of cloud architecture (AWS, GCP, Azure)Experience with containerization, orchestration, and CI/CD pipelines for ML/AI workloads
If you are passionate about building innovative AI solutions, have a proven track record of deploying LLMs in production, and thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply.
***Relocation assistance is not available for this role.
Develop and executes actionable data science and analytical solutions in a consulting-style environment
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