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

Posted 2 Days Ago
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New York, NY
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead data science projects in compliance and risk management, overseeing model development and adherence to regulations while fostering team collaboration and innovation.
Summary Generated by Built In
Job Description
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Product Manager in the Compliance Conduct and Operational Risk (CCOR) Data Analytics division, you will play a pivotal role in ensuring the seamless execution of various projects and initiatives across diverse domains. You'll be at the forefront of innovation, crafting project and rollout plans for initiatives that involve model development in collaboration with CCOR SMEs, Product Leads, Model Risk Management, Technology, and others. Your expertise will guide the data science team, ensuring they meet agreed milestones while proactively addressing any delays and collaborating with stakeholders to keep projects on track. You'll facilitate smooth interactions with business partners, aligning on business requirements and objectives, and nurturing strong relationships.
Your role will also involve close collaboration with model review, control, legal, and compliance teams to ensure adherence to all regulatory and compliance requirements. You will prepare and present reports on project progress and outcomes to senior managers, ensuring clear communication of project requirements and updates to all relevant parties. Additionally, you will be responsible for leading initiatives to enhance team satisfaction, foster a positive work environment, and provide opportunities for professional development. In this role, you will have the opportunity to drive the delivery of innovative AI/ML solutions across Compliance, Conduct and Operational Risk through modern architecture & engineering practices.
Job 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.

Required qualifications, capabilities, and skills
  • 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 qualifications, capabilities, and skills
  • 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

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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

Ai/Ml
AWS
Azure
Databricks
GCP
JIRA
Numpy
Pandas
Python
PyTorch
R
Scikit-Learn

What the Team is Saying

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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