Machine Learning Scientist - Nlp Sr Associate jobs at Jpmorgan in United States, Palo Alto

Job responsibilities

• Design and develop elegant solutions to specific interaction problems and ensure consistency across multiple products and platforms while adhering to industry best practices
• Apply advanced knowledge of information architecture and storyboarding to create user-centric designs that enhance navigation, findability, and overall user satisfaction
• Conduct data-driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision-making
• Collaborate with cross-functional teams to incorporate inclusive design principles and accessibility guidelines to ensure our products and services cater to a diverse range of users
• Operate with an iterative design mindset and incorporate user feedback and insights to continuously improve the overall user experience of our offerings
• Assist in the analysis of market trends, user research studies, and user behavior analyses to inform design decisions and contribute to the team's strategic thinking

Required qualifications, capabilities, and skills

• 3+ years in a user experience design or equivalent role dedicated to improving experiences with digital products and services
• Proven ability to create visually appealing and functional designs using industry-standard tools (e.g., Figma, Sketch, or Adobe Creative Suite)
• Demonstrated experience in designing and optimizing user experiences across multiple platforms, including web, mobile, and other digital channels
• Previous experience interpreting complex data and transforming it into actionable insights for informed decision-making
• Proficient understanding of inclusive design principles, accessibility guidelines, and assistive technologies, with a history of creating accessible and inclusive digital experiences

As a Private Client Banker in Branch Banking, you are the main point of contact for a select group of Chase’s affluent clients as well as other customers in the Branch. You will manage their complete banking relationship across the company, utilizing a proactive and disciplined approach to generate growth in their balances. You will help acquire new clients by actively soliciting referrals and developing internal and external sources.

Job responsibilities

• Shares the value of Chase Private Client with clients that may be eligible
• Actively manages their banking relationship through an advice-based approach, ensuring each client receives the best products and services for their needs
• Partners with Specialists (Private Client Advisors, Mortgage Bankers and Business Relationship Managers) to connect customers to experts who can help them with specialized financial needs
• Makes lives of clients more convenient by sharing and setting up self-service options to access their accounts 24 hours a day/ 7 days a week
• Adheres to policies, procedures, and regulatory banking requirements

Required qualifications, capabilities, and skills

• Demonstrated success using a value-added, relationship-oriented approach to acquire and deepen client relationships
• 1+ year Branch Banking Banker or equivalent experience in financial services, with verifiable success in new client acquisition, cultivating, and maintaining customer relationships and revenue generation
• Beginning Oct. 1, 2018, if you are not currently registered, the Securities Industry Essential (SIE) exam, FINRA Series 6/7, state registration (including 63 or 66 if required) and Life licenses are required - or must be successfully completed within 180 days of starting the role
• Compliance with Dodd Frank/Truth in Lending Act*
• High school degree, GED, or foreign equivalent
• Adherence to policies, procedures, and regulatory banking requirements
• Ability to work branch hours, including weekends and some evenings

Preferred qualifications, capabilities, and skills

• Excellent communication skills
• College degree or military equivalent
• Experience cultivating relationships with affluent clients
• Strong team orientation with a commitment of long-term career with the firm

Dodd Frank/Truth in Lending Act

This position is subject to the Dodd Frank/Truth in Lending Act qualification requirements for Loan Originators. As such, an employment offer for this position is contingent on JPMC's review of your criminal conviction history, credit report, information available through NMLS, and any other information relevant to a determination by JPMC that you demonstrate financial responsibility, good character, and general fitness for the position. Note that any felony conviction within the last seven years will disqualify you from consideration for this position. Your continued employment in this position would be contingent upon compliance with Truth in Lending Act/Dodd Frank Loan Originator requirements.

In addition, this position requires National Mortgage Licensing System and Registry (NMLS) registration under the SAFE Act of 2008. As such, upon active employment with JPMorgan Chase, you will be required to either register on NMLS, or to update your existing registration as necessary to grant access to and reflect your employment with JPMorgan Chase. Your continued employment in this position with JPMorgan Chase is contingent upon compliance with the SAFE Act, including successful registration immediately after your start date, and timely completion of annual renewal and required updates thereafter.

Any information obtained during the registration, update, and renewal processes or through NMLS notifications may impact your employment with the firm. Any of the completed information you provide during the Chase on-line application process may be transferred, on your behalf, to NMLS by JPMorgan Chase. Please carefully review the information you provide to Chase for accuracy and consistency and with any current NMLS record, if applicable, before submitting. Further information about NMLS and registration requirements of registration can be found at:

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.

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 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 a MS with at least three 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

Job responsibilities

• Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors
• Develop secure, high-quality production code, and review and debug code written by others
• Drive decisions that influence product design, application functionality, and technical operations and processes
• Serve as a subject matter expert in AWS, Terraform, and cloud-native technologies
• Advocate for firmwide frameworks, tools, and practices within the Software Development Life Cycle
• Influence peers and project decision-makers to adopt leading-edge technologies
• Foster a team culture of customer obsession, embodying the ethos of "kind first, then right"
• Operate independently, without constant direction, and adapt to changing project needs as an internal consultant focused on delivering results and adding value

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on experience with AWS, including solution architecture and engineering
• Proficiency in writing Terraform scripts and managing Cloud infrastructure
• Experience with distributed systems, cell-based architecture, microservices, Kubernetes, and containers
• Advanced skills in programming languages such as Python and Java
• Knowledge of recent AI developments and their application in cloud environments
• Ability to troubleshoot problems independently and learn from failures
• Strong organizational skills and effective communication abilities
• Practical cloud-native experience and familiarity with internal tools like Atlas
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
• Associate level certification or higher, such as AWS Solutions Architect Associate

Preferred qualifications, capabilities, and skills

• Experience in Agile methodologies, particularly Kanban
• Ability to hop from project to project, providing consulting and value-added services across teams; must be flexible, adaptable and willing to change course quickly
• Familiarity with regulatory requirements and applications within the financial industry

Job responsibilities

• Performs in a Product Manager role to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
• Considers and plans for upstream and downstream implications of new product features on the overall product experience
• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
• Writes the requirements, epics, and user stories to support product development

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise in product management or a relevant domain area
• Proficient knowledge of the product development life cycle
• Experience in product life cycle activities including discovery and requirements definition
• Developing knowledge of data analytics and data literacy
• Proficient in communications at multiple levels of the organization through both verbal and written channels
• Comfortable in dealing with ambiguity; can work independently with moderate input from supervisor – brings recommendations vs. requiring direct guidance
• Capable of handling multiple threads of work and competing priorities simultaneously
• Ability to develop workplans and project timelines based on agreed outcomes and deadlines
• High EQ, able to use influence to drive projects forward working with both peers and more senior colleagues

Preferred qualifications, capabilities, and skills

• Experience in a tech company with understanding of cloud/SaaS software development and monetization

• Experience in a management consulting firm

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