Compliance – Applied AI/ML Director (Risk Management) – Executive Director at JPMC Candidate Experience page

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

0.0

Posted On

14 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Risk Management, Compliance, Data Science, Machine Learning, Python, R, MLOps, Data Engineering, Cloud Technologies, Stakeholder Management, Project Management, Statistical Modeling, Regulatory Reporting, Software Development, Artificial Intelligence

Industry

Financial Services

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 AI/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, and in working with model review, control, legal, and compliance teams * 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.). * Bachelor’s Degree in Finance, Economics or other related disciplines 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 J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. 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.

Responsibilities

The Director will lead the development and execution of AI/ML product visions within the Compliance, Conduct, and Operational Risk division. They are responsible for overseeing data science teams, ensuring project milestones are met, and collaborating with stakeholders to align on business objectives and regulatory requirements.