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JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.</p><p>
</p><p>As a Data Scientist Vice President within the Compliance, Conduct Operational Risk (CCOR) Data Analytics team, you will be responsible for devising and developing Proofs of Concept (POCs) and deployable models using AI/Gen AI/ ML techniques, algorithms and other statistical and numerical methods. You will need to be able to extract and work with large volumes of data (both structured and unstructured) from multiple sources, transforming it into an analysis-ready format to develop the data pipeline. Additionally, you are expected to independently formulate methodologies, and quantitative and analytical tasks, from business problems.</p><p>
</p><p><b>Job Responsibilities
</b></p><ul><li><p>Analyze complex/unstructured data to understand the business problem and use case</p></li><li><p>
Analyze business requirements, design, and develop appropriate methodology</p></li><li><p>
Develop deployable, scalable and effective models/ analytical methods as part of technology managed system or as a self-served application of a business user
</p></li><li><p>Work collaboratively and creatively with other data scientists, technology partners, risk professionals, model validation teams, etc.
</p></li><li><p>Prepare technical documentation of quantitative models for internal model risk and governance review
</p></li></ul><p></p><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li><p>6+ years of related experience in Python, R or Scala with Bachelor of Science degree in Computer Science, Physical Sciences, Econometrics, Statistics, or other any quantitative discipline.</p></li><li><p>
Demonstrable theoretical and application knowledge of AL/ ML, Gen AI and Statistical Models</p></li><li><p>
Demonstrable hands-on experience with Transformer or other deep learning architectures in real applications</p></li><li><p>
Demonstrable hands-on experience with using or fine tuning multimodal LLM in real business applications with scale and performance</p></li><li><p>
Demonstrable hands-on experience and familiarity with any or all of the following packages, algorithms, and/or alternatives, including Graph Learning Packages : (NetworkX, Torch-Geometric, Graphframes, Graphistry),ML Packages (Pandas, Scikit-Learn, XGBoost, catboost, lightgbm, automl, Optuna, Hyperopt), Visualization Packages (Matplotlib, Seaborn, Geopandas), Algorithm (Ensemble Louvian / Hierarchical Clustering, Label Propagation, Connected Component Analysis, Graph Neural net (Graph Attention Network), Page Rank, Centrality Analysis, Tree based Analysis, Outlier Detection Methods, Zero Shot/ Few Shot learning)</p></li><li><p>
Demonstrable experience with graph analytics, graph-based learning, and graph representation/visualization</p></li><li><p>
Experience in graph Database: TigerGraph, Neo4j</p></li><li><p>
Experience in Query Language: Hive, Cypher (Graph Query Language)</p></li><li><p>
Experience in developing and operationalization of data pipelines
</p></li><li><p>Familiarity and experience of assimilating large amounts of data from multiple databases and utilize them for creating actionable outcome; Adhering to a standardized analysis and project methodology; and documenting quantitative analysis</p></li><li><p>
Experience with processes, controls and governance of a highly regulated environment; Self-starter and strong influencing skills with strong communication skills</p></li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills
</b></p><ul><li><p>Hands-on professional experience in software development especially with analytical &amp; computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.). Experience with EKS or AKS provisioning is a plus</p></li><li><p>
Post graduate degrees such as Master&rsquo;s Degree, PhD, etc. is preferred</p></li><li><p>
Real life exposure to Agile SDLC, ModelOps and /Or Design Thinking is desirable.</p></li><li><p>
Working knowledge of C/C#/C++ or others is a plus</p></li><li><p>
Experience in financial services industry especially in Operational Risk Management, Anti-Money Laundering &amp; Know Your Customer, Trade Surveillance model development</p></li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Compliance - Applied AI/ML Senior Associate

<div><b>JOB DESCRIPTION</b><p><br>
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm&rsquo;s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
</p><p>As an Applied AI ML Data Scientist-Senior Associate on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
</p><p><b>Job responsibilities</b></p><ul><li>
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.</li><li>
Develop GenAI and LLM solutions to solve business problems.</li><li>
Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs.
</li><li>Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
</li><li>Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
</li><li>Communicate AI/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
PhD in Computer Science or a related quantitative discipline with 1+ years of relevant experience or MS/BS in Computer Science or a related field with 2+ years of relevant experience.</li><li>
Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.</li><li>
Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.</li><li>
Demonstrated experience working with large and complicated datasets.</li><li>
Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.</li><li>
Experience integrating user feedback to establish agentic refinement and self-improving AI applications.</li><li>
Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.</li><li>
Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.</li><li>
Excellent problem solving, communication (verbal and written), and teamwork skills.</li></ul><p>
</p><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience working with engineering teams to operationalize ML models.</li><li>
Expertise in designing and implementing pipelines using RAG and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AIML Data Scientist-Senior Associate

<div><b>JOB DESCRIPTION</b><p><br>
In this role, you will set technical direction, build and mentor high-performing teams, and establish rigorous practices for model development, evaluation, and governance. You&rsquo;ll operate at the intersection of innovation and execution&mdash;accelerating adoption of AI capabilities (including LLM-driven workflows where appropriate) while ensuring reliability, safety, and measurable outcomes in a highly regulated environment.</p><p>
As an Applied AI ML Director in the Commercial &amp; Investment Bank(CIB) Ai4Tech Team at JPMorgan Chase, you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing, creating, and delivering trusted, top-tier technology products in a secure, stable, and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm, innovate for business impact, and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends, best practices, and technological advancements.
</p><p></p><p><b>Job responsibilities</b></p><ul><li>
Establish and promote common AI assets to drive efficiency and scale across CIB use cases.</li><li>
Design and deliver GenAI solutions using advanced large language models (LLMs) and related techniques.</li><li>
Define robust evaluation frameworks and feedback loops for agentic systems and GenAI applications to ensure safety, accuracy, and continuous improvement.</li><li>
Advise on strategy and the development of multiple products, applications, and technologies, aligning AI roadmaps with business outcomes.</li><li>
Serve as the lead advisor on technical feasibility and business value for applied AI/ML use cases.</li><li>
Liaise with firmwide AI/ML stakeholders to coordinate standards, governance, and adoption.</li><li>
Translate complex technical issues, trends, and approaches for senior leadership to enable strategic, well-informed decisions on technology advancements.</li><li>
Influence across business, product, and technology teams and successfully manage senior stakeholder relationships.</li><li>
Ensure compliance with firm policies and applicable regulations, integrating model governance, risk controls, and monitoring into AI lifecycle practices.</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
MS with 10+ years of experience or PhD with 5+ years of experience in Computer Science, Machine Learning, or a related field.</li><li>
Formal training or certification in machine learning; with 5+ years of applied experience in one or more programming languages (e.g., Python, Java, C/C++).</li><li>
Strong understanding of AI implementation in software development, including modernization of legacy codebases.</li><li>
Deep expertise in LLM techniques (e.g., agents, planning, reasoning) and related methods.</li><li>
Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph); verify any third‑party tools are approved for use at JPMorgan Chase before implementation.</li><li>
Experience with vector databases, scalable retrieval systems, and evaluation metrics for LLMs.</li><li>
Hands-on experience in code and architecture, collaborating closely with engineering to productionize experimental results.</li><li>
Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow.</li><li>
Solid understanding of ML techniques, especially in Natural Language Processing (NLP) and LLMs.</li><li><p>
Experience in leading technologies to anticipate, manage, and resolve complex technical challenges within your domain.</p><p>
</p></li></ul><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.<br>
using Advanced knowledge in Reinforcement Learning or Meta Learning.</li><li>
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.</li><li>
Background in model governance, bias mitigation, and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Director

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.</p><p>
As a Machine Learning Engineer &ndash; Document Digitization (LLMs)- Senior Associate in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.</p><p><b>
Job responsibilities</b></p><ul><li>
Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.</li><li>
Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.</li><li>
Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.</li><li>
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.</li><li>
Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).</li><li>
Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.</li><li>
Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.</li><li>
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.</li><li>
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.</li><li>
Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.</li><li>
Contribute to communities of practice and explore new and emerging technologies.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.</li><li>
Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).</li><li>
Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.</li><li>
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).</li><li>
Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.</li><li>
Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).</li><li>
Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).</li><li>
Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.</li><li>
Strong understanding of SDLC, CI/CD, resiliency, and security practices.</li><li>
Demonstrated ability to accelerate development using AI technologies.</li><li>
Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience in financial services, especially investment banking or credit risk operations</li><li>
Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs</li><li>
Familiarity with distributed computing, data sharing, and DDP training</li><li>
Experience in design/code reviews and mentoring teams</li><li>
AWS Generative AI Developer Professional certification or equivalent</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.</p><div>
As a Software Engineer III at JPMorgan Chase within the Cybersecurity Technology &amp; Controls, you will join a team building model serving and agentic AI platforms on AWS.</div><div>
</div><div></div><div><b>Job responsibilities</b></div><div>
</div><ul><li>Work with AWS services including Lambda, API Gateway, ECS, RDS/Aurora, DynamoDB, S3, and CloudWatch
</li><li>Develop backend services using Python (FastAPI, Flask) for model APIs, agent integrations, and automation workflows
</li><li>Contribute to building AI agent features and intelligent automation components
</li><li>Integrate LLM APIs (Amazon Bedrock, OpenAI) into backend services and workflows
</li><li>Implement message queuing and event handling using Amazon SQS, SNS, Kinesis, or Kafka (MSK)
</li><li>Assist in building model deployment pipelines and infrastructure automation using AWS services
</li><li>Write infrastructure-as-code using Terraform or AWS CloudFormation under guidance from senior engineers
</li><li>Implement logging and monitoring using CloudWatch, X-Ray, and other observability tools
</li><li>Write unit tests, integration tests, and participate in code reviews
</li><li>Collaborate with ML engineers and senior developers to understand requirements and implement solutions
</li><li><p>Learn and apply AWS best practices for security (IAM, VPC, Secrets Manager) and cost optimization
</p></li></ul><p></p><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><div></div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience, including backend software development using Python</li><li>
Working knowledge of AWS Cloud services with hands-on experience in at least 3-4 core services (Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, or CloudWatch)
</li><li>Basic understanding of SQL databases (PostgreSQL, MySQL, or Aurora)
</li><li>Experience building RESTful APIs and understanding of microservices principles
</li><li>Familiarity with Docker and containerization concepts
</li><li>Understanding of version control (Git) and basic CI/CD concepts
</li><li>Eagerness to learn about AI/ML systems, agent-based architectures, and MLOps
</li><li>Strong problem-solving mindset and attention to detail
</li><li>Good communication and teamwork skills
</li></ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><div>
</div><ul><li>AWS certification (Cloud Practitioner, Solutions Architect Associate, or Developer Associate)
</li><li>Exposure to Kafka, Amazon Kinesis, MSK, or other messaging/streaming systems
</li><li>Familiarity with LLM APIs (Amazon Bedrock, OpenAI, Anthropic) or AI frameworks (LangChain)
</li><li>Basic understanding of ML model deployment, SageMaker, or MLOps concepts
</li><li>Experience with Terraform or AWS CloudFormation
</li><li>Knowledge of microservices architecture patterns and distributed systems
</li><li>Exposure to Kubernetes (EKS) or container orchestration
</li><li><p>Understanding of AWS security best practices (IAM roles, VPC, security groups)
</p></li></ul><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - Python/AWS/Kafka

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><div>
</div><ul><li><p>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</p><p>
</p></li><li>Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Lead a local team of software engineers and applied AI/ML practitioners, driving accountability and engagement within a global organization.</li><li>
Mentor and guide team members, fostering an inclusive culture with a growth mindset and supporting career development.</li><li>
Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.</li><li>
Translate business requirements into robust software and AI/ML specifications, define milestones, and ensure timely delivery using Agile methodologies.</li><li>
Architect, design, and develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants.</li><li>
Review, debug, and optimize code written by others, ensuring operational stability and scalability.</li><li>
Identify opportunities to automate and remediate recurring issues, improving overall system reliability.</li><li>
Design experiments, implement algorithms, validate results, and productionize performant, scalable, and trustworthy AI/ML solutions.</li><li><p>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</p><p>
</p></li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification in software engineering concepts and 5+ years applied experience</li><li>
Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)</li><li>
Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability</li><li>
Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants</li><li>
Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions</li><li>
Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)</li><li>
Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)</li><li><p>
Hands-on practical experience delivering system design, application development, testing, and operational stability</p><p>
</p></li><li>Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li><p>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</p><p>
</p></li></ul><div></div><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)</li><li>
AWS Certifications (Solution Architect Associate or Professional) are advantageous</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - Agentic AI, Java/Python

Fustis LLC

<p>Need someone with recent Banking clients<br>
<br>
$65/h W-2<br>
<br>
Jersey City NJ<br>
<br>
LOCATION: Hybrid - Jersey City, NJ<br>
Experience Level: Senior (10+ Years)<br>
Cybersecurity - Insider Risk &amp; Advanced Analytics<br>
<br>
USC, GC<br>
<br>
DL &amp; LinkedIn needed (updated with photo)<br>
<br>
Summary:<br>
The Insider Risk team in partnership with the Information Security Data Operations team are working on a project to centralize IR data in the Cybersecurity Data Lakehouse (CyberDW). We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a human risk score for the Insider Risk program. This individual will be adept at ML, AI and best practices around the new tools in the marketplace.<br>
<br>
The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the Insider Risk programs detection, scoring, and decisioning capabilities. This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and nonhuman identities.<br>
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The role partners closely with Cyber, HR, Legal, Compliance, AntiFraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny.<br>
<br>
Required Skills:<br>
1) Bachelors or Masters degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline.<br>
2) 5+ years of experience in data science, quantitative analysis, or risk modeling, preferably in financial services or regulated industries.<br>
3) Strong experience building statistical or machine learning models (regression, classification, anomaly detection, clustering).<br>
4) Proficiency in Python and/or R, with experience in SQL for largescale data analysis.<br>
5) Hands-on experience working with complex enterprise datasets and translating analytics into business decisions.<br>
6) Strong communication skills with the ability to explain complex analytical concepts to nontechnical stakeholders.<br>
7) Experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs.<br>
8) Familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring.<br>
9) Experience with model explain ability, governance, and validation in regulated environments.<br>
10) Knowledge of employee lifecycle risk, behavioral analytics, or humancentric risk modeling.</p>

Data Scientist - Insider Risk & Advanced Analytics

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