דרושים Program/project Manager- Securities Billing Operations ב-גיי פי מורגן ב-United States, Plano

As a Relationship Manager within Merchant Services, you will be primarily responsible for a select portfolio of Middle Market clients. You will partner closely with the firm-wide bank coverage team, including JPMorgan Payments Treasury Services. You will be accountable for maintaining strong relationships with key decision-makers and influencers within those assigned client relationships. You will meet JP Morgan Merchant Services’ profitability goals through strategic client management, re-contracting of existing business and identification, pursuit and acquisition of incremental business within the designated portfolio.

Job Responsibilities:

• Achieve firm-wide business objectives, including the annual revenue plan at target margins; by maintaining and growing existing relationships, identifying incremental business and maintaining high levels of client satisfaction
• Execute sales/support strategies in conjunction with other lines of business; including, but not limited to the Commercial Bank, JPMorgan Payments Treasury Services, FX and Card Services to optimize product and service delivery
• Acts as a principal point of contact to internal partners, and as the primary contact for the client relationship on behalf of Merchant Services
• Implement and support ongoing client strategy and co-coordinating cross-sell opportunities with other parts of JPMorgan Payments Treasury Services
• Clearly understand client needs by applying a strategic, consultative selling approach to cultivate payment optimization strategies, develop appropriate product solution recommendations and grow the business
• Prepare and deliver quarterly business reviews and analysis on strategic client relationship, as well as provide compelling financial and market analysis to support proposals to expand business
• Participate in external industry conferences to ensure market visibility for the JPMorgan franchise within the identified market segment.

Required qualifications, capabilities and skills:

• 8 + years of experience within a strategic relationship management role, business development role; or technology related experience with
• Demonstrated ability to grow and expand relationships with Fortune 500 caliber clients
• Experience and comfort level working with C-suite level client stakeholders
• Experience collaborating across multi-faceted financial institutions or similar institutions, especially with relationship bankers, product, service and operations partners
• Demonstrated ability to work across cultures with internal teams and external clients
• Exceptional relationship management skills, strong presentation skills and exceptional verbal and written communication skills
• Travel required-25%

Preferred qualifications, capabilities and skills:

• Bachelor’s degree or equivalent experience; MBA desired
• Expertise in specialized industries such as, with other financial institutions, fintech, billers, major and specialty retail and vertical knowledge within the payments industry is a plus

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 Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

Job Responsibilities:

• Develop software applications that serves as the primary way customers interact with our platform and its associated services
• Participate in and drive system design through the various phases of planning, review, refinement, and implementation
• Build strong collaborative relationships with technology peers, product owners, stakeholders, and external partners
• Plan, coordinate, and execute development of tactical and strategic roadmaps for test coordination and project delivery
• Demonstrate strong technical expertise and critical thinking; clearly communicate defect status, project risks, and progress updates to senior leadership
• Focus on continuous personal development, upskilling, and fostering an innovative culture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience with designing and implementing large scale distributed systems
• Advanced level experience in Core Java, Object Oriented Programming, and Spring
• Advanced knowledge of application, data, and infrastructure architecture, including design across systems and OOAD skills
• Ability to translate functional requirements into technical design and solutions
• Strong experience with Agile methodology, SDLC tools (JIRA, Jenkins, GIT, JUnit, Karate), and working in Agile teams
• Proficient in microservices frameworks (Spring Boot), REST, and programming/application development using Java and Spring Boot
• Knowledge of industry-wide technology trends, best practices, and process improvement opportunities

Preferred qualifications, capabilities, and skills

• Banking and payments domain background is a plus
• Experience with cloud and container-based development (AWS, Docker, Kubernetes, Kube) and orchestration

As a Risk program Senior Associate within the Chase consumer Bank, you'll be the analytical expert for identifying and retooling suitable machine learning algorithms that can enhance the fraud risk ranking of particular transactions and/or applications for new products. This includes a balance of feature engineering, feature selection, and developing and training machine learning algorithms using cutting edge technology to extract predictive models/patterns from data gathered for billions of transactions. Your expertise and insights will help us effectively utilize big data platforms, data assets, and analytical capabilities to control fraud loss and improve customer experience.

Job Responsibilities:

• Identify and retool machine learning (ML) algorithms to analyze datasets for fraud detection in the Chase Consumer Bank.
• Perform machine learning tasks such as feature engineering, feature selection, and developing and training machine learning algorithms using cutting-edge technology to extract predictive models/patterns from billions of transactions’ amounts of data.
• Collaborate with business teams to identify opportunities, collect business needs, and provide guidance on leveraging the machine learning solutions.
• Interact with a broader audience in the firm to share knowledge, disseminate findings, and provide domain expertise

Required qualifications, capabilities and skills:

• Master's degree in Mathematics, Statistics, Economics, Computer Science, Operations Research, Physics, and other related quantitative fields.
• 2+ years of experience with data analysis in Python.
• Experience in designing models for a commercial purpose using some (at least 3) of the following machine learning and optimization techniques: CNN, RNN, SVM, Reinforcement Learning, Random Forest/GBM.
• A strong interest in how models work, the reasons why particular models work or not work on particular problems, and the practical aspects of how new models are designed.

Preferred qualifications, capabilities and skills:

• PhD in a quantitative field with publications in top journals, preferably in machine learning.
• Experience with model design in a big data environment making use of distributed/parallel processing via Hadoop, particularly Spark and Hive.
• Experience designing models with Keras/TensorFlow on GPU-accelerated hardware.
• Experience with graph technology, including designing and implementing graph-based machine learning models for fraud detection or risk assessment. Familiarity with graph databases (such as TigerGraph or Neo4j …), graph algorithms (e.g., node classification, link prediction, community detection), and graph feature engineering is highly desirable. Ability to leverage graph analytics to uncover complex relationships and patterns within large-scale transaction data is a strong plus.
• Hands-on experience with transformer models and related architectures (such as BERT, GPT, or Graph Transformers) for natural language processing, anomaly detection, or transaction analysis. Proficiency in fine-tuning and deploying transformer-based models using frameworks like PyTorch or TensorFlow is preferred. Demonstrated ability to apply transformer models to extract meaningful insights from unstructured or semi-structured data sources will be highly valued.