Agency Multifamily Lending Transaction Manager - Senior Associate jobs at Jpmorgan in United States, Chicago

Job Description

As a Transaction Processing Analyst in Security Services Operations, you'll provide operational support within our Corporate Investment Bank. You will be responsible for ensuring that all aspects of transaction management for clients are completed on time and exceptions and client inquiries are resolved. You will also provide subject matter expertise to clients. Additional responsibilities may include managing daily regulatory reporting tasks and remediation activities, as well as process improvement.

Responsibilities:

• Review of legal documentation and input of key parameters from the legal documentation into the systems of JP Morgan.
• Identify issues and co-ordinate with the relevant functions internally (eg: credit, legal etc) for prompt resolution on disputed points within set time-frame parameters
• Working with key partners in legal, business, operations and technology, contribute towards the development of an efficient operating framework
• Working closely with regional Legal operations Department (which has the overall responsibility for Master Agreement Negotiation and Transactions), the business and other stakeholders.
• Productivity and Quality will be the measure of performance for this role. Producing good quality work is therefore paramount to the success of the candidate in the organization
• Take lead on process improvement and automation
• Manage assigned tasks independently with little or no supervision
• Have a control mindset and be alert to issues and risks that have impact on process or to the organization

This role requires a wide variety of strengths and capabilities, including:

• Thorough understanding of the legal language to interpret the documents provided and impact to the Firm
• Understanding of the financial services industry, products, and processes
• Strong analytical skills with excellent oral and written communications skills
• Attention to detail and ability to perform tasks with high degree of accuracy
• A strong sense of ownership and responsibility
• Excellent client focus and customer care working practices
• Bachelor’s degree
• Strong computer skills (MS Excel, Word, PPT, Outlook, etc.)
• Willingness and flexibility to work during US hours

As an Applied AI/ML Sr. Associate in our Technology team, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.

Job Responsibilities

• Lead programs and provide directions to successfully implement the large AI/ML initiatives
• Assist product leadership in defining the problem statements, execution roadmap
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.
• Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.
• Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
• Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
• Collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
• Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.

Required qualifications, capabilities, and skills.

• BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
• At least 5 years’ experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.
• Experience with LLMs and Prompt Engineering techniques.
• 1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.
• Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
• Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, 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.
• Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
• Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
• Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player

Preferred qualifications, capabilities and skills

• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals
• Experience with A/B experimentation and data/metric-driven product development
• Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development

As the Vice President within the Wholesale Lending Reporting Control team, you will lead through a period of change, influencing and building partnerships with the SEC and Regulatory teams as well as Accounting/Legal Policy, Line of Business Product Controllers, Wholesale Loan Operations, and Risk professionals. You will have the opportunity to leverage advanced technologies for problem-solving and productivity enhancement, focusing on providing "best in class" reporting to both internal and external clients.

Job responsibilities

• Develop criteria to evaluate MDRM level logic for external reporting of loans impacting filings such as Y-14Q, Y-9C, Call Report, SEC, CRA, FDIC 370, FRB pledge programs, etc.,
• Develop a deep understanding of credit systems and processes in order to extract insights from existing data while identifying and recommending enhancements to improve data quality
• Collaborate with cross-functional teams to conduct impact assessment and tactical/strategic implementation of new regulatory reporting instructions affecting wholesale loan disclosures
• Produce accurate, error-free analysis and reporting. Understand business drivers and ensure that analyses are appropriate and well-structured
• Provide support for occasional ad hoc requests and routine reporting associated with wholesale lending products
• Manage projects and initiatives related to regulatory classification of loans and unfunded credit commitments
• Advocate for and identify opportunities to drive automation across wholesale lending external reporting and control function
• Develop and maintain strong relationships with key stakeholders, including Product Controllers, Operations, Credit Risk, Audit, Accounting/Regulatory Policy, and Technology teams
• Represent Wholesale Lending Firm-wide External Reporting Controller team through engagement with senior stakeholders, regulators and other external parties

Required qualifications, capabilities and skills

• 6+ years of experience in financial control, regulatory external reporting, or related roles, with a strong background in the banking or financial services industry
• Excellent verbal and written communication skills, with the ability to present complex and sensitive issues to management in a concise and persuasive manner
• Ability to synthesize large amounts of data and formulate appropriate conclusions and train others to this level of understanding and actionable results
• Ability to build partnerships at all levels across functions to promote collaboration and drive decision making
• Flexibility to work under pressure to meet changing work requirements and strict deadlines - while maintaining attention to detail and a controls mindset
• Strong organizational and project management skills, with an ability to manage multiple competing priorities
• Proficiency in data profiling and data analysis toolset/visualization e.g., Alteryx, Xceptor, AWS Databricks, SQL or similar query language, and dashboard creation using Tableau
• Ability to leverage advanced technologies for problem-solving and enhancing productivity, including development and use of LLMs

Preferred qualifications, capabilities, and skills

• CPA license
• Knowledge of loan classification and relevant regulatory reporting instructions

Job Responsibilities:

• Prepare executive presentations to package and present business strategy, performance projections, and trends.
• Design monthly and quarterly business management and financial reporting packages.
• Coordinate deliverables with business managers, finance, project managers, and other F&BM teams.
• Analyze large amounts of data to create impactful analysis for WLS strategy development.
• Create executive-level presentations using PitchPro+.
• Budget and forecast headcount and direct expenses with WLS and CIB F&BM teams.
• Assist with the build-out and enhancement of capacity models across WLS functions.
• Participate in activity-based costing processes for expense allocation.
• Partner with Finance to build out CIB LOB loan origination forecasting model.

Required Qualifications, Skills, and Capabilities:

• Bachelor’s degree in Business, Finance, Economics, or related area.
• 8 years of relevant experience in Business Management, Operations, or Consulting.
• Experience and knowledge of complex syndicated lending, including asset-based lending and equipment financing.
• Strong presentation skills and ability to tell the story on initiatives.
• Highly motivated self-starter with excellent time management and prioritization skills.
• Ability to work collaboratively and develop strong partnerships with multiple levels of employees.
• Excellent written and oral communication skills.
• Strong project management and organizational skills.
• Attention to detail with logical thought process.
• Ability to handle multiple priorities and produce successful results in a fast-paced environment.
• Strong PowerPoint and Excel skills required.

Preferred Qualifications, Skills, and Capabilities:

• MBA or Master's degree.
• Experience with lending processes of credit enablement, originations, and servicing.
• Ability to interpret and present complex data.
• Ability to develop strong, positive relationships with business stakeholders.