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Controls Room AI/ML Developer - Senior Associate

Jersey City, NJ, United States
Up to $170,000/ year
Machine Learning Engineer Data Scientist Platform Engineer Python Developer Full Stack Python Developer
Actively hiring

Controls Room AI/ML Developer - Senior Associate

JPMorganChase
Jersey City, NJ, United States
Up to $170,000/ year
Machine Learning Engineer Data Scientist Platform Engineer Python Developer Full Stack Python Developer
JPMorganChase
Actively hiring

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 
JOB DESCRIPTION

The Controls Room is a physical and virtual 'room' containing firmwide control-related information to enable rapid access to relevant data, advanced analytics, and proactive issue identification. The Controls Room Team is designed to facilitate better monitoring and management of the Firm's control environment through the creation and maintenance of Firmwide Systems which support key Operational Risk Frameworks as well as a Firmwide Reporting Utility that provides standardized control-related data and encourages quick, efficient and accurate reporting and analytics. The primary goal is to enhance risk and control oversight through the standardization and automation of operational risk recording and reporting as well as provide access to firmwide aggregated information and to produce business risk insight. 


Description for Internal Candidates
Central Control Management solidifies an effective firmwide control framework within and across all lines of business by identifying and remediating control issues with a sense of urgency, irrespective of the functional area. The Central Control Management team works collaboratively with other control disciplines and oversees existing control functions as well as the development of new control functions and protocols. This process enables the firm to engage the appropriate teams in a timely manner and provides the ability to quickly remediate critical control issues across all the impacted areas of the firm.
Help build agentic systems that turn control data into actionable insight through multi-step reasoning, dynamic tool use, and intelligent workflow orchestration. This role offers the opportunity to design and implement intelligent agents that understand control problems, retrieve relevant information, reason across complex scenarios, and take guided action. You will work across data, engineering, and business teams to develop agents that interact naturally with users and systems while maintaining appropriate governance and control. Your work will contribute directly to faster decision-making, smarter automation, and improved risk oversight.


Job summary
As a Controls Room Quant Modeling  Senior Associate in the Controls Room team, you design and build agentic systems that improve control monitoring, analytics, and decision support. You will work on agent  architecture, workflow orchestration, tool integration, and agent reasoning patterns that enable natural, multi-step problem solving. We are looking for someone with strong engineering fundamentals, practical experience with LLMs and agent frameworks, and the ability to contribute effectively across data, engineering, and business teams.


Job responsibilities
•    Design and implement Multi-Agent Dynamic System hat enable multi-turn reasoning, tool use, and dynamic decision-making for control management problems
•    Develop   and Design and integrate tools and data connections that agents use to retrieve information, validate data, and take action
•    Build and maintain orchestration logic for agent routing, state management, and workflow coordination
•    Work with LLMs and prompt design to shape agent behavior, reasoning patterns, and response quality
•    Contribute to agent architecture and design decisions, including agent decomposition, memory management, and multi-agent coordination
•    Partner with data, product, and engineering teams to translate business problems into practical agentic solutions
•    Implement validation, testing, and evaluation frameworks for agent performance, accuracy, and reliability
•    Support observability and monitoring for agent systems, including reasoning traces, tool calls, and decision auditing
•    Help build reusable agent templates, patterns, and tooling that accelerate delivery across use cases
•    Document agent design, assumptions, tool specifications, and operational procedures for technical and non-technical audiences
•    Support governance and control requirements by implementing traceability, human-in-the-loop checkpoints, and appropriate safeguards into agent workflows


Required qualifications, capabilities, and skills
•    Bachelor's degree, Master's degree, or Ph.D. in Computer Science, Data Science, Engineering, or a related quantitative discipline
•    3+ years of experience building software, data, or backend systems in production or near-production environments
•    Strong Python programming skills, including debugging, testing, and writing maintainable code
•    Foundational understanding of Large Language Models, transformer-based architectures, and LLM capabilities and limitations
•    Experience with at least one LLM-based agentic framework or library
•    Experience integrating external tools, APIs, and data services into software or machine learning systems
•    Experience designing or implementing multi-step workflows, state machines, or orchestration logic
•    Experience with prompt engineering, prompt templates, and shaping model behavior through instructions
•    Familiarity with monitoring, logging, and operational support practices for production applications
•    Ability to solve problems independently within defined scope and collaborate effectively across cross-functional teams
•    Ability to communicate technical work clearly to both technical and non-technical stakeholders
 

Preferred qualifications, capabilities, and skills
•    Experience building or deploying agentic systems in production or enterprise environments
•    Experience with retrieval-augmented generation (RAG) and grounding strategies for LLMs
•    Experience with async task execution, event-driven workflows, or asynchronous coordination patterns
•    Experience implementing agent memory, context management, or multi-turn conversation patterns
•    Familiarity with responsible AI practices, model governance, or human-in-the-loop review patterns in agent systems
•    Experience with observability and tracing tools for understanding system behavior and reasoning
•    Experience in risk, controls, compliance, or other highly governed environments
 

Please note- We are unable to provide sponsorship for this role now or in the future.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans


ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is partnering with JPMorganChase to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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