Experience Research Senior Associate jobs at Jpmorgan in United States, Plano

Job responsibilities

• Manage closing and delivery of commercial real estate multifamily loans (GSE), primarily Fannie Mae and Freddie Mac, from application to post closing status
• Work closely with outside counsel, credit officers and bankers on various transactional matters to ensure that the anticipated time frames are met
• Ensure that the appropriate requirements are received and required approvals are obtained for the issuance of commitment letters and rate lock
• Review loan documents to ensure accuracy and compliance with Lender and Agency requirements
• Prepare and issue Commitment Letters, Prepare escrow analysis and Closing Statements in preparation of loan closing
• Work closely with counsel and credit teams on loan document negotiations and modifications
• Ensure all approvals and waivers are in place including insurance reviews and confirmation on payment of taxes
• Ensure compliance with bank policies, procedures and regulatory requirements are met
• Coordinate with outside counsel, title/escrow and closing partners to ensure timely funding on closing day
• Confirm loan information in systems and documents are accurate for loan servicing and boarding
• Prepare and submit the final data and upload the appropriate documents timely and accurately to ensure final settlement with the appropriate agency

Required qualifications, capabilities, and skills

• 3+ years of experience with closing and delivery of Fannie Mae and Freddie Mac multifamily loans."
• Knowledge of Fannie Mae and Freddie Mac applications.
• Ability to work as part of a team, interact, and collaborate.
• Ability to train and provide guidance to less experienced associates
• Strong analytical and problem-solving skills; ability to resolve issues with management guidance
• Demonstrated excellent attention to detail and accuracy
• Ability to work autonomously to manage time effectively and prioritize work appropriately to meet deadlines
• Strong business communication skills; able to write/speak clearly and professionally with a variety of stakeholders
• Demonstrated ability to establish credibility and rapport with internal and external stakeholders
• Proven ability to maintain confidentiality and professionally handle sensitive documents

Preferred qualifications, capabilities, and skills

• Proficient with Microsoft (word, excel, PowerPoint) systems and Adobe.
• Knowledge of Commercial Real Estate terms
• Bachelor’s degree is preferred

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and demonstrated applied experience
• Extensive experience of using common Android libraries such as Jetpack Compose and Kotlin Coroutines
• Practical knowledge of Android Platform Security best practices
• Experience of building reusable libraries, components and APIs
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Proficiency in backend development languages such as Java or Python, with the ability to design and implement robust server-side logic
• Hands-on experience with database development and management
• Practical experience in backend cloud development and maintenance using platforms such as AWS, Kubernetes, or Cloud Foundry, including deploying, scaling, and monitoring cloud-based applications

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 2+ years’ experience with Hadoop ecosystem technology stacks as HDFS, HBase, Hive, Pig, Spark, Map Reduce, Cloudera etc.
• Experience in using Eclipse/IntelliJ, Maven, Jenkins, GIT, JIRA, Control M or equivalent tools
• Experience with AWS technologies, Cassandra, Kafka, Scala, Python and/or Java
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)

Preferred qualifications, capabilities, and skills

• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Job Responsibilities

• Design and implement thorough research studies to uncover customer needs, preferences, and behaviors, driving product enhancements and innovation.
• Utilize advanced quantitative and qualitative methods to analyze and interpret data, transforming insights into actionable recommendations for improving user experience.
• Conduct surveys and interviews with users to collect information on their needs and desires, and develop user testing scenarios to refine products or features based on the findings.
• Promote a culture of continuous learning and knowledge sharing within the user experience design team.
• Stay informed about industry trends and advancements in user experience research methodologies, integrating innovative techniques to maintain a competitive advantage in the market.
• Create frameworks and artifacts that inspire and drive consensus and action across various business functions.

Required Qualifications, Capabilities, and Skills

• Over 5 years of experience or equivalent expertise in generative and evaluative user experience research, with a strong emphasis on both quantitative and qualitative research methods.
• Proven ability to employ diverse research techniques, such as ethnography, surveys, interviews, and advanced data analysis, to derive actionable insights for user experience design.
• Demonstrated knowledge of advanced qualitative methods, with a track record of implementing findings that enhance product or feature design.
• Experience in collaborating with cross-functional teams, including UX designers, product managers, and developers, to drive customer-centric decision-making and inform product prioritization.
• Skilled in designing high-quality research studies with an iterative approach, capable of adapting study parameters to meet evolving product design needs.
• Proficient in connecting research insights across other business functions to maximize the impact of research efforts.
• Experience in leading large complex projects across multiple surfaces and journeys

Preferred Qualifications, Capabilities, and Skills

• Previous experience or knowledge of the travel industry and online travel agencies (OTAs).
• Experience in digital channels and eCommerce. Especially working on Shopping portal entry experiences and Checkouts.
• Ability to navigate ambiguity, set clear expectations, and align with stakeholders to maximize the impact and clarity of research efforts.
• Capability to swiftly pivot research efforts to support the needs of the QUAD.
• Advanced presentation and storytelling based on research insights to cross-functional Sr. Executive teams.

Guide and shape the future of technology at a globally recognized firm, driven by pride in ownership.

As a AI/ML 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:

• Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
• Provide mentorship and guidance to junior engineers.
• Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
  Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness.
• Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills:

• Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
• One year of experience in generative AI development and prompt engineering.
• Proven experience in system design, application development, testing, and operational stability in AI projects.
• Minimum of 3+ years of strong experience with React or Angular.
• 1+ year of AWS experience is a must-have.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
• Experience with LLM models and agentic tools.

Preferred qualifications, capabilities, and skills:

• Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
• Familiarity with data engineering practices to support AI model training and deployment.
• Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
• Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.