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Chase · 3 months ago

Compliance - Product Manager Data Science (Risk Management) - Executive Director

237 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Director/Executive

$176K/yr - $260K/yr

JPMorgan Chase is a leading financial services firm, and they are seeking a Product Manager in the Compliance Conduct and Operational Risk Data Analytics division. This role involves overseeing projects, guiding the data science team, ensuring compliance with regulatory requirements, and driving the delivery of innovative AI/ML solutions.

BankingFinancial Services

Responsibilities

Develop and execute the AL/ML capabilities and product vision developed with CCOR product managers and risk SMEs

Oversee the data science teams progress with respect to the agreed project plan to ensure timely delivery

Proactively address any delays and collaborate with stakeholders to keep projects on track

Facilitate smooth interactions with business and technology partners, addressing and anticipating any issues and maintaining strong relationships. Collaborate with partners to ensure alignment on business requirements and objectives

Demonstrated ability to lead and manage the implementation of AI/ML models in technology stack, issue resolution, and roll out

Accustomed to working with JIRA, User Stories, etc

Work closely with model review, control, legal, and compliance teams to ensure adherence to all necessary requirements

Address any control/compliance-related concerns to ensure our work meets required standards

Prepare and present reports on project progress and outcomes to senior managers

Ensure clear communication of project requirements and updates to all relevant parties

Implement initiatives to improve team satisfaction and foster a positive work environment

Qualification

Product ManagementData ScienceMachine LearningRegulatory CompliancePythonData EngineeringAI/ML SolutionsMultitasking SkillsCollaboration SkillsCommunication SkillsProblem-Solving Skills

Required

Proven experience in product management, with a track record of successfully managing processes and controls to deliver projects on time

Strong collaboration skills with the ability to build and maintain relationships with business partners and stakeholders, especially technology

Experience in regulatory and compliance coordination, with a strong understanding of necessary requirements

Excellent communication and reporting skills, with the ability to present complex information clearly to senior managers

Undergraduate degree in Engineering, Computer Science, Physical Sciences, Econometrics, Business, Statistics, or other any quantitative discipline

Experience in managing or working with large scale technology transformation projects involving analytics

Core knowledge in data science and machine learning, including modeling fundamentals and a strong grounding in statistics and probability. Understanding of various data analytics, AI/ML, LLM, Gen AI, and ML techniques. Demonstrated experience in Python and/or R or any other and understanding of libraries/frameworks (eg Pandas, NumPy, scikit-learn, PyTorch, etc.)

Reproducibility - Best practices for notebooks, code packaging, and experiment tracking (MLflow, Weights & Biases)

MLOps - Experience in Monitoring & Maintenance strategies (Drift detection, retraining strategies); Good understanding in model deployment pipelines

Experience in data engineering best practices, including data warehouses, data lakes, modern data stack tools and microservice API integration; Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.)

Experience in working with model review, control, legal, and compliance teams

Preferred

Ability to independently address control/compliance-related concerns

Strong problem-solving skills and the ability to proactively address project delays

Strong multitasking skills and the ability to manage multiple initiatives across different domains

Post graduate degree is preferred

Working knowledge of C/C#/C++ or others is a plus

Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering & Know Your Customer, Trade Surveillance model development

Experience with EKS or AKS provisioning is a plus