דרושים Product Associate - Fraud Risk ב-גיי פי מורגן ב-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 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

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise

• Practical cloud native experience and Certified in Public cloud with AWS required.
• System Design, Design Patterns, Architecture, Strong Hands-on, Java, Microservices, Kafka, AWS techstack like EKS, EMR, EC2, S3 Buckets, Networking, infrastructure, Database (Postgres, Dynatrace), FinOps, Resiliency, Observability, POC, Prototyping and experimentation with latest and greatest market tech stack
• Experience leading teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Preferably AWS Solutions Architect – Associate or Professional
• Soft Skills Like presenting, Negotiating, Mentorship, stakeholder management

As a Treasury Management Officer in Government Banking serving the Mid-Atlantic region based out of Washington DC, you will generate new treasury management business and maintain relationships with State and Local Governments. You will leverage your deep treasury product knowledge to develop and execute a localized market and product strategy while developing partnerships with Bankers, Associates, Analysts , Client Service, Product Leadership (Core Cash, Card and Commerce Solutions) and Implementation teams.

Job Responsibilities

• Grow revenue by successfully prospecting and sourcing new treasury management business while retaining and expanding existing customer relationships.
• Create strategic dialogues around key client-centric issues, incorporating best practices, industry benchmarking, opportunity quantification and solution positioning
• Collaborate with bankers and clients at senior and strategic levels to proactively provide integrated treasury solutions within a consultative and client driven framework
• Independently lead business process reviews aligned to key client sales opportunities and engage industry solutions specialist for complex client business process reviews
• Raise new solution ideas while partner with internal product stakeholders to represent the client perspective in the development and evolution of complex products and solutions
• Deliver thought leadership to the market, prospects and clients on the working capital solutions at client roundtables, industry conferences, webinars, and professional media platforms.
• Manage the non-credit risk for customer portfolio and monitor and enhance profitability of all assigned relationships

Required Qualifications, Capabilities and Skills

• 6+ years of cash management, sales and relationship management experience
• Success developing new business with focus on prospecting utilizing strong selling and negotiation skills
• Knowledge and understanding of Treasury Service products, credit and risk process, overdraft management discipline, and pricing philosophy
• Excellent verbal and written communication skills
• Ability to develop strong working relationships with clients, colleagues, external centers of influence (COI), and external consulting organization
• Strong time management, organizational and planning skills

• Demonstrated experience of meeting or exceeding sales goals; proven top individual contributor

Preferred Qualifications, Capabilities and Skills

• Bachelor’s degree
• Certified Treasury Professional designation

• Strong creative solution and problem-so

Key Responsibilities:

• Develop and implement AI solutions to address business challenges.
• Collaborate with cross-functional teams to translate requirements into technical solutions.
• Formulate risk strategies to enhance risk monitoring using diverse data sources.
• Manage the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring.
• Ensure the performance and reliability of deployed solutions.
• Stay informed on the latest AI/ML advancements.
• Lead the development and rapid deployment of AI solutions influenced by macro-economic factors and current events.

Qualifications and Skills:

• Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics.
• Minimum of 5 years of experience in applied AI/ML.
• Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred.
• Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL.
• Experience in model implementation and production deployment is preferred.
• Excellent problem-solving, communication, and teamwork skills.
• Background in financial services is preferred.

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.

As a Risk Management - Wholesale Credit Risk Policy Document Associate in the Wholesale Credit Portfolio Analytics team, you will develop value added risk analytics solutions through the deployment of advanced analytical frameworks on top of the firm’s big data resources. In this role, you will focus on leveraging data to enhance the current end-to-end credit risk process across all of Credit Risk.

Job Responsibilities

• Manage a portfolio of credit risk documents that includes working with document owners to write documents, solicit and incorporate feedback, obtain document owner approvals and publish to the firmwide policy portal.
• Manage the WCR document governance process and maintaining strong controls. This includes challenging content.
• Lead with authority, drives decisions and influences stakeholders in the governance process and provide training, if necessary.
• Lead cross-line of business and regional projects through multiple platforms (e.g. Forums, working group sessions, and deep dives).
• Lead meetings with functional support groups to participate and align on the transformation of risk policy priorities.
• Create and present reporting related to progress, inventory status and highlight obstacles and challenges while suggesting solutions.
• Prepare senior management presentations and provide updates on deliverables and team projects.

Required qualifications, skills and capabilities

• Strong, clear, and concise written and verbal communications; edit and prepare executive level communications
• Excellent organizational and project management skills; able to manage competing priorities under tight deadlines and a constantly changing environment.
• High degree of initiative, self-direction, ability to work well under pressure and learn quickly.
• Intellectual curiosity and willingness to take on responsibilities that fall outside your immediate area of expertise.
• Inclusive leadership skills with the ability to collaborate across multiple stakeholder groups and regions. Appreciate the value of working in partnership with others to influence change and accomplish individual and team goals.

Preferred Qualifications

• Working knowledge of Credit Risk concepts preferable.
• WCR audit, control, policy or governance experience preferable.