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Chase · 2 months ago

Risk Management & Compliance - Data Scientist Lead, Executive Director

545 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

JPMorgan Chase is a leading financial institution seeking a Data Scientist Lead in Risk Management & Compliance. In this strategic role, you will leverage AI and advanced analytics to tackle complex business challenges while leading a team of data scientists to develop innovative solutions.

BankingFinancial Services

Responsibilities

Oversee and manage a global team of data scientists who are responsible for the development of predictive models, autonomous agents, and prompt-based LLM solutions in collaboration with Engineering teams

Manage the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives

Collaborate with senior leaders to re-engineer processes and define a compelling vision for the target state, by embedding AI into current workflows, driving change and efficiency

Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights

Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption

Guide research initiatives and pilot projects to identify and apply cutting-edge AI/ML solutions, including GenAI and agentic technologies

Implement robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring)

Prepare and deliver executive-level presentations and reports, communicating analytical findings and recommendations to senior leadership

Qualification

AI/ML model deploymentData science leadershipAdvanced analyticsCloud technologiesStatistical modelingData processing pipelinesML Ops frameworksScientific mindsetMatrix environment adaptabilityAgentic frameworksCommunication skillsTeam collaboration

Required

Minimum 10+ years of experience in data science, analytics or a related field

Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment, including hands-on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management

Significant leadership experience in managing data science/R&D teams and driving technology innovation

Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems

Experience with A/B experimentation, data- and metric-driven product development, cloud-native deployment in large-scale distributed environments, and the ability to develop and debug production-quality code

Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences

Scientific mindset with the ability to innovate and work both independently and collaboratively within a team

Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations

Proven experience in agentic frameworks (using CruxAI, Google ADK, LangGraph)