Applied Artificial Intelligence Machine Learning Scientist Vp jobs at Jpmorgan in United States, New York

As an Associate in Wealth Management PXT Business Management, you will have a dynamic role that will vary from business to business, in line with the priorities of the different lines of business. You will also provide a high level of responsiveness to executive ad-hoc requests related to project management, presentation development, and business analysis.

Job responsibilities

• Organize complex information in a strategic and compelling way, demonstrating strong acumen and expertise in PowerPoint and Excel techniques
• Create presentations quickly and iteratively for senior management presentations, reports, and dashboards, driving things forward and working with stakeholders to stay up-to-date on information needed (e.g., Advisor showcases, business reviews, newsletters, etc.)
• Communicate effectively with key business partners to understand projects and drive next steps
• Manage and deliver key work streams and tasks
• Support audit, regulatory and compliance deliverables; help drive specific action plans and deliverables within the Risk Control Self-Assessment (RCSA) framework
• Coordinate team activities and prepare materials for town halls, employee recognition, and strategy working sessions
• Collect and maintain internal resources and documentation on collaboration sites such as SharePoint
• Participate in collaborative initiatives with team members and global managers, looking for ways to continually simplify, improve, and add value to existing business processes

Required qualifications, capabilities, and skills

• Bachelor’s degree in Business, Finance, Economics, or other related area
• Prior experience in Business Management or COO role
• Prior experience within the Technology space
• Proven experience delivering timely, high quality presentations and/or reporting for various projects and stakeholders; attention to detail is a must
• Demonstrated ability in dealing with different stakeholder groups and driving the agenda
• Excellent communication, organization and project management skills
• Intermediate to advanced level ability expected in all MS Office tools (Excel, PowerPoint, Pivot Tables)
• Self-motivated, tenacious and able to work with high degree of independence
• Strong time management and prioritization skills
• Be flexible and open to work on ad-hoc initiatives as they arise

Preferred qualifications, capabilities, and skills

• Background in Wealth Management a plus
• Experience with Confluence nice to have

Job Summary:

As a Control Manager, Executive Director, within the Consumer and Community Banking Data & Analytics Function, you will lead and enhance our control framework, ensuring our risk assessment approach is continuous and integrated and promoting strategic initiatives. You will collaborate with business and functional partners to identify key risks and mitigants, provide strategic and tactical input for business decisions, and represent the CCB Control Management organization in Firmwide and CCB control management forums related to Analytics and governance of data-driven initiatives.

Job Responsibilities:

• Monitor analytics portfolio activity and development to ensure compliance with policies and procedures.
• Represent CCB Control Management in Firmwide control management forums related to governance of Analytics and data-driven initiatives.
• Collaborate with Business and Functional Heads of Data & Analytics to identify key risks and mitigants.
• Provide strategic and tactical input for business decisions and ensure controls for new and existing Data & Analytics activities and initiatives.
• Report and present risk assessments findings to senior management.
• Partner with colleagues across various functions to drive consistent operational risk practices.
• Establish control frameworks and governance for new and emerging business areas.
• Manage control-related activities, including risk assessments and new business initiatives.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree or equivalent experience required.
• 10+ years of experience in financial services, focusing on controls, audit, risk management, or compliance.
• Ability to work independently and adapt to new situations with minimal direction.
• Expert knowledge of control and risk management concepts.
• Strong leadership and judgment skills to influence risk management culture.
• Exceptional communication skills for engaging with senior stakeholders.
• Proficiency in Microsoft Office Suite, with the ability to create compelling executive presentations.

As a Head of Supplier Controls Intelligence, with in Global Supplier Service, you will play a crucial leadership role within the Corporate Third-Party Oversight (CTPO) organization, directly reporting to the Global Head of CTPO. Your role is designed to transform the Supplier Due Diligence teams by integrating state-of-the-art supplier controls methodologies. Your key responsibilities include optimizing intelligence collection processes, expanding visibility into supplier risks, and translating data into actionable insights. You will also be required to engage with senior executives, effectively communicate with stakeholders, explore innovative applications of intelligence across Third-Party Oversight (TPO) processes, and align initiatives with Lines of Business (LOBs). Furthermore, your position involves overseeing data analysis, fostering a culture of innovation, and building strong stakeholder relationships to propel control initiatives forward.

Job Responsibilities:

• Lead the adoption of cutting-edge methods for supplier controls to enhance data collection and improve risk visibility, contributing to an organization that values innovation, promoting a proactive approach to risk management.
• Streamline collection processes to maximize efficiency and effectiveness, ensuring timely and accurate data acquisition.
• Convert diverse data sets into cohesive, actionable insights, and enhance communication with stakeholders.
• Innovate the application of insights within Third-Party Oversight (TPO) processes, providing assessors with indirect information and summarizing findings into thematic risk categories.
• Work closely with Lines of Business (LOBs) to ensure efforts are aligned with business objectives and risk management strategies.
• Develop and implement strategies to capitalize on advancements in supplier controls, enhancing risk management capabilities.
• Drive the transformation of SAS into an organization focused on management of residual risk.
• Oversee the collection, analysis, and dissemination of data to supportdecision-making andrisk mitigation.
• Engage with senior regulators to inform and influence best practices in risk management, ensuring compliance and proactive risk mitigation.
• Foster a team culture that prioritizes innovation and continuous improvement, encouraging creative solutions to complex challenges.
• Build and maintain strong relationships with internal and external stakeholders to support and advance strategic initiatives.

Required qualifications, capabilities, and skills

• 15+ years experience in a senior leadership role specializing in third-party risk management, demonstrating a strong track record of success.
• In-depth expertise in supplier controls intelligence and risk management practices, with a focus on implementing industry best practices.
• Demonstrated proficiency in integrating and interpreting complex data from diverse sources to drive informed decision-making.
• Outstanding communication and collaboration skills, with the ability to work seamlessly across cross-functional teams and foster a cooperative work environment.
• Proven capability to effectively engage and build relationships with senior regulators, influencing risk management practices and ensuring compliance.
• Strategic thinker with a history of successfully driving organizational transformation and fostering innovation, leading to enhanced performance and growth.

As a Fraud Risk Senior Product Delivery Associate within our strategic fraud risk initiatives team, you will be instrumental in shaping the technology solutions that promote our operations. Positioned at the crossroads of business and technology, you will collaborate with colleagues across various business lines to understand challenges and opportunities. This knowledge will be transformed into high-quality technical requirements. Furthermore, you will coordinate with technical delivery teams to ensure that the solutions not only meet all requirements but also provide an exceptional business and customer experience.

Job responsibilities

• Partner with Fraud Risk product owners, data scientists, and fraud strategists on various initiatives to facilitate and drive customer focused solutions across the organization, serving as a subject matter expert to major business processes and supporting applications/capabilities
• Manage the interdependencies between product releases and other product delivery teams and activities required for end to end delivery
• Design solutions and improve existing software systems and applications to meet business requirements, working with stakeholders and technology partners
• Conduct and lead technical and functional JAD sessions, driving the team during solution design and defining web services API contracts. build requirement artifacts, data flow diagrams, user stories, use cases, mapping documents, and defining test scenarios.
• Elicit accurate functional and technical requirements and user stories with supporting acceptance criteria.

Required qualifications, capabilities and skills:

• Bachelor’s degree, in engineering, computer science, technology, or related field.
• 5+ years of experience in financial / banking services.
• Demonstrated ability to interpret and share concepts clearly & unambiguously. Being able to discuss topics with across varied audiences of business & technical resources. Comfortable creating and presenting recommendations to leadership.
• Innate listening skills with ability to interview stakeholders, quickly understand new concepts and ask appropriate probing questions to build full picture
• Self-starter & able to manage projects from ideation through completion with strong problem-solving skills and ability to deliver actionable insights
• Ability to handle multiple projects while managing conflicting deadlines and handling ambiguity. Regularly assessing your own performance and adapting your work to achieve better results.
• Experience with service-oriented design and technology (Rest APIs, micro services, Kafka, webservices, MQ messaging)
• Sound knowledge and proficiency with project tracking and process documentation tools like Confluence, JIRA, and Visio

Preferred qualifications, capabilities and skills:

• An advanced degree is a plus.
• Experience with fraud risk and originations products is a plus

Job responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
  

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

As a Machine Learning Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

• Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
• Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
• Develop and implement software architecture and design patterns to ensure scalability and performance.
• Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
• Implement and manage data pipelines to preprocess and transform data for AI/ML models.
• Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
• Optimize software applications for performance, reliability, and scalability.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
• Ensure adherence to software development best practices, including agile and lean methodologies.
• Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 7+ years of experience as a software developer with a focus on integrating AI/ML solutions.
• Strong programming skills in Python, with experience in developing and maintaining production-level code.
• Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
• Experience with application architecture and design patterns.
• Proficiency in working with large datasets and data preprocessing.
• Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
• Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
• Leverage Spark for big data processing and analytics, optimizing data workflows and enhancing performance in distributed computing environments

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with DevOps practices for software deployment and monitoring.
• Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
• Experience with distributed computing frameworks, such as Apache Spark.
• Experience in implementing SRE practices to improve system reliability and performance.