Treasury Sales Associate Group Manager - Commercial Bank jobs at Jpmorgan in United States, Seattle

• Serves as a subject matter expert on a wide range of ML techniques and optimizations.
• Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
• Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
• Conducts experiments using latest ML technologies, analyzing results, tuning models
• Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
• Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
• Integrates Generative AI within the ML Platform using state-of-the-art techniques.

• MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
• At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
• At least 2 years’ experience in applying data science, ML techniques to solve business problems.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work on tasks and projects through to completion with limited supervision.
• Passion for detail and follow through. Excellent communication skills and team player.

• Master’s degree in computer science, ML or related areas
• Experience with Ray, MLFlow, and/or other distributed training frameworks.
• In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

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 Treasury Sales Group Manager in Commercial Banking, you will lead and develop Treasury Management Sales Associates. You will play a key part in delivering an exceptional experience for clients while mitigating risk and appropriately guiding the team. You will develop partnerships with Bankers, Client Service, Product Leadership (Core Cash, Card and Commerce Solutions) and Implementation teams. You will use your deep understanding of the treasury and leadership skills to develop and execute a strategy localized to market, growth, and product.

Job Responsibilities

• Lead, hire, and manage a team of Treasury associate professionals to drive revenue through speed to market, deepening relationships, and excellent client experience
• Leads with direction and coordination building successful relationships internally and externally
• Direct client interaction focused on client experience
• Monitors staff performance, provides appropriate coaching, recognition and feedback
• Builds collaborative internal relationships with Segment and Industry Treasury Sales Team, bankers and other internal partners
• Participates in partner meetings and communicates key Treasury Management messages in a timely and accurate manner
• Protects the firm by applying sound risk management protocols and adhering to regulatory requirements
• Develop and implement client, market, people, and business strategies

Required qualifications, capabilities, and skills

• 5+ years of treasury sales and industry experience
• 3+ years of demonstrated leadership experience driving new business, building relationships and successfully partnering for a positive experience for all involved
• Deep knowledge of treasury products and solutions
• Highly motivated, independent worker within a team-oriented culture
• Excellent client management skills
• Ability to communicate and present to large groups
• Demonstrated sales coaching abilities including successful sales and marketing skills

Preferred qualifications, capabilities, and skills

• Familiar with Microsoft Word, Excel, and PowerPoint
• Bachelor’s degree; advanced degree preferred
• Superior analytical and quantitative skills
• Exceptional verbal and written communication skills

FEDERAL DEPOSIT INSURANCE ACT:

As a Commercial Banker on the Healthcare, Higher Education & Non-Profit (HHN) Commercial Banking team, you will be responsible for growing and retaining profitable relationships within the Middle Market Banking & Specialized Industries specializing in Healthcare, Higher Education & Non-Profit.

Job Responsibilities

• Manage and develop relationships with non-profit clients whose annual revenues are $50 million and above.
• Champion a culture of innovation and a customer centric mindset by serving as a Relationship Manager for HHN customers and prospects
• Develop new, and deepen existing, HHN relationships by focusing on key commercial banking solutions (e.g. credit, treasury, liquidity) and partner with other lines of business and business segments (e.g. Public Finance, Asset Management, and Consumer Banking) to develop fulsome relationships for the firm
• Stay current with HHN industry trends to identify opportunities for innovation or strategic partnerships and bring thought leadership to our HHN customers and prospects
• Serve as an ambassador for the firm by bringing the full resources of JPMorgan Chase to our HHN customers and prospects (e.g. Corporate Responsibility, ESG, DEI)
• Mentor junior members on the HHN team, including Analysts and Associates, to contribute to the long-term success of our business and to assist with talent development

Required Qualifications, Capabilities and Skills

• 5 plus years’ direct lending or credit support related experience, with a focus on business relationships
• Understanding of Commercial Banking products and services
• Knowledge of the local market
• Ability to collaborate with internal partners and resources
• Demonstrated experience of meeting or exceeding sales goals; proven top individual contributor
• Sales management and business development skills

Preferred Qualifications, Capabilities and Skills

• Bachelor’s degree and formal credit training preferred
• Excellent verbal, written and listening communication skills
• Strong creative solution and problem solving abilities
• Proficiency in building and maintaining positive client relationships

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.