דרושים Data Owner-vice President ב-גיי פי מורגן ב-United States, Seattle

At Compliance Conduct and Operational Risk division, as a trade surveillance personnel you would be responsible for identifying potential instances of market abuse, notably insider trading and market manipulation using well known surveillance systems, conducting surveillance of activities in Firm and Employee accounts to comply with the information barrier and restricted list policies. The trade surveillance team would be responsible for looking into the risks across markets using the established surveillance program to safeguard the firm against any reputational and/or financial risk while complying with internal policies and regulatory requirements.

Job Responsibilities:

• Reviewing Trade surveillance alerts and conducting analysis of trading and market activity for asset class and programs such as Equities, Information barriers, Fixed income, Futures/ Options and Asset management
• Properly documenting the review and disposition of the exceptions as well as escalating matters appropriately
• Working with business and compliance stakeholders to identify potential market misconduct and technical rule violations and disposition, accordingly, include through interaction with regional Surveillance teams
• Conducting alert-based reviews for potential violations of laws, rules, and regulations.
• Work along with peers, handle multiple reports, engage in result-oriented tasks in a fast-paced environment. Identifying areas for process improvement and contribute towards the same
• Additional duties as assigned & Identifying areas for process improvement and contribute towards the same
• Identify key issues, risks, trends, observations and have them highlighted to management/key stakeholders

Required qualifications, capabilities, and skills:

• Qualified graduate with minimum of 6 years of trade surveillance / product experience with exchange traded products (including equities, futures and Fixed income) and/or information barriers / Asset management
• An understanding of markets and potential market manipulative behavior and a demonstrated ability to conduct reviews relating to regional rules and regulations
• Experience with reviewing trading activity for Compliance and familiarity with securities laws and regulations for identifying potential trading violations

Preferred Qualifications, Capabilities, and Skills:

• Experience with SMARTS, Actimize or similar Trade surveillance systems is a plus
• Experience with navigation and sourcing of information in Bloomberg/public sources
• Working Knowledge of securities markets preferred

As a
Applied AI ML Sr Associate at JPMorgan Chase within the Corporate Sector – AIML Data Platforms,you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

Job Responsibilities

• Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
• Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
• Implement, deliver, and support high-quality ML solutions in partnership with a team of ML Engineers.
• Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
• Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
• Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and execution of AI/ML Platform tools across various teams.
• Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree or equivalent practical experience in a related field.
• 6+ years of experience in engineering management with a strong technical background in machine learning.
• Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
• Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
• Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
• Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
• Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.

Preferred Qualifications, Capabilities, and Skills

• Strong coding skills and experience in developing large-scale AI/ML systems.
• Proven track record in contributing to and optimizing open-source ML frameworks.
• Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.

As a
Applied AI ML Lead at JPMorgan Chase within the Corporate Sector – AIML Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

Job Responsibilities

• Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions.
• Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
• Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
• Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
• Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
• Drive the adoption and execution of AI/ML Platform tools across various teams.
• Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
• Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.
• Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals.

Required Qualifications, Capabilities, and Skills

• Bachelor's degree or equivalent practical experience in a related field.
• 8+ years of experience in engineering management with a strong technical background in machine learning.
• Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
• Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
• Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
• Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
• Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.
• Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners.

Preferred Qualifications, Capabilities, and Skills

• Strong coding skills and experience in developing large-scale AI/ML systems.
• Proven track record in contributing to and optimizing open-source ML frameworks.
• Recognized thought leader within the field of machine learning.
• Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.

As a Business Relationship Manager Senior (BRM) Acquisition banker in Business Banking, you’ll be developing and managing a portfolio of large profitable business clients with annual revenue greater than ~$3MM. You’ll focus on business development, acquiring balances, deepening product utilization, and gaining referrals to increase primary bank share. As a Senior Acquisition banker, you will provide a high-touch experience by building relationships and providing financial advice with a focus on client experience and risk management, while focusing on acquiring new relationships, retaining and deepening existing relationships.

Job Responsibilities

• Acquire, retain and deepen a portfolio of approximately 40 business clients and 60 prospects in a growth/expansion stage with annual revenue greater than ~$3 million; provide business deposit and cash management solutions and manage business credit opportunities up to $15 million; provide support to branch-based business bankers on sizeable business credit deals as needed
• Deliver an outstanding experience to Chase business clients by providing comprehensive and customized business banking solutions tailored to the financial needs and circumstances of their businesses
• Grow portfolio by prospecting for new clients whose businesses are in expansion mode; utilize extensive referral networks and centers of influence to independently identify and pursue potential new business clients, looking for ways to cultivate long-term primary banking relationships.
• Develop strong referral network internally in partnership with Private Bank, Asset Wealth Management, Middle Market and One Chase to identify new opportunities for all partners
• Leverage knowledge of diverse types of businesses, industries, markets, financial and economic concepts, as well as creative marketing techniques utilizing Chase resources and materials to develop business network and prospects
• Develop relationships with clients, prospect and centers of influence through in-person/virtual calls to understand the needs of the business and its owners and develop the full financial relationship
• Understand the personal financial goals and needs of the owner(s). Utilize knowledge of personal banking products and partner with Branch, Wealth Management and Private Bank to identify and deliver appropriate personal financial solutions
• Partner with product specialists to ensure clients are onboarded seamlessly with end-to-end delivery of new accounts and full suite of products and services. Leverage service team to deliver an outstanding client experience
• Protect the firm by following sound risk management protocols and control policies and adhering to regulatory requirements

Required qualifications, capabilities, and skills

• Minimum of 5 years’ experience in a Business Banking Relationship Management role or related business lending experience
• Strong current business network; active involvement in community organizations such as Chambers of Commerce, non-profit boards
• Demonstrates strong tactical business development and negotiation skills. Self-directed, proactive, and creative; uses sound judgment and navigates ambiguity to get things done
• Strong relationship-building and excellent communication skills with individuals at all levels, internally and externally. Ability to influence others to achieve desired outcomes and leverage technology to interact with clients effectively and efficiently
• Strong knowledge of deposit and cash management products and services, and knowledge of business credit underwriting with commercial credit training. Uses seasoned judgment to offer comprehensive and customized solutions that best meet client needs; monitors and researches market/industry trends and business outcomes to anticipate client needs; presents proactive solutions and innovative alternatives when appropriate
• Balance needs of clients with associated risks and interests of the firm
• Excellent organizational skills and the ability to manage, prioritize, work under pressure and meet tight deadlines

Preferred qualifications, capabilities, and skills

• Bachelor’s degree in Finance or related field, or equivalent work experience
• Minimum of 3 years’ managing clients >$10+MM revenue
• In-depth knowledge of diverse types of businesses, industries, markets, financial and economic concepts
• Proficient in Microsoft Office tools including Outlook, Excel, Word, and PowerPoint

Job responsibilities

• Utilizes public cloud services to build data and knowledge management services for GenAI engineering.
• Explores new and emerging technologies.
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements.
• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build novel solutions or break down technical problems.
• Produces architecture and design artifacts for complex applications. Creates secure and high-quality production code and with limited guidance.
• Gathers and analyzes large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• 2+ years of professional experience in building products.
• Experience with public cloud services such as AWS or Azure
• Proficient in Java or Python
• Experience with Maven, microservices, GIT, REST, SQL, messaging and events, Software Development Life Cycle (SDLC), CI/CD, resiliency, and security.
• Practical experience in system design, application development, testing, and operational stability in a large corporate environment

Preferred qualifications, capabilities, and skills

• Experience in developing technology products from start-up to scale-up, achieving product maturity, and ensuring operational stability.
• Experience with Caching; Spark; Big Data storage, processing, and consumption.
• Familiarity with GenAI, LLM and agentic orchestration frameworks, Retrieval-augmented generation (RAG), prompt engineering.
• Familiarity with data services: database, data warehouses, data lakes, vectordb, nosql db, graphdb

• Familiarity with search: semantic, TF-IDF, BM25, hybrid, efficient filtering.