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JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<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'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' 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.</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 Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. 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's business objectives.</p><p><b>
Job responsibilities</b></p><div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</div></li></ul></div><div><ul><li><div>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</div></li></ul></div></div><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
</li></ul><p></p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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' 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.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Sr Lead Software Engineer:Java/AI

NBCUniversal

<div><b>Company Description</b><p><br>
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations &amp; Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.</p><p>
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.</p><b><br>
Job Description</b><p><br>
The <b>Director, Applied AI Innovation &amp; Business Adoption</b> will drive the practical application, adoption, and measurable business impact of AI capabilities across NBCUniversal News Group.</p><p>
This is a senior individual contributor role for a hands-on AI practitioner who combines deep knowledge of modern AI tools with strong business acumen and stakeholder engagement skills, that requires the ability to influence without direct authority. Operating at the intersection of AI innovation, enablement, and business transformation, this individual will help News Group teams identify high-value use cases, apply approved AI solutions to real workflows, and accelerate responsible adoption across the organization.</p><p>
The ideal candidate is AI-native, highly proactive, and comfortable translating emerging technologies into practical business outcomes. Success will be measured through adoption, productivity gains, workflow improvements, quality enhancements, cost avoidance, and other measurable business results.</p><p><b>
Applied AI Innovation
</b></p><ul><li>Drive AI adoption and innovation efforts across News Group functions, including editorial, product, technology, commercial, production, and operations.</li><li>
Partner with stakeholders to understand workflows, identify opportunities, and apply AI to improve efficiency, quality, creativity, and business outcomes.</li><li>
Lead AI engagement initiatives, including workshops, demos, office hours, use-case discovery, pilots, and communications.</li><li>
Serve as a trusted advisor, helping News Group teams move from AI exploration to meaningful adoption.</li></ul><p><b>
Hands-On AI Solutioning</b></p><ul><li>
Apply approved AI tools directly to business use cases, developing workflows, prompts, prototypes, demonstrations, and practical recommendations.</li><li>
Translate business challenges into scalable AI-enabled solutions.</li><li>
Identify reusable workflows and common use cases that can be expanded across the organization.</li><li>
Evaluate and recommend the best AI capabilities for specific business needs.</li></ul><p><b>
AI Strategy &amp; Market Awareness</b></p><ul><li>
Monitor emerging AI technologies, product releases, and vendor roadmaps.</li><li>
Assess new capabilities and translate developments into actionable guidance for stakeholders.</li><li>
Maintain strong relationships with AI vendors and internal partners to identify opportunities for experimentation and adoption.</li></ul><p><b>
Stakeholder Engagement</b></p><ul><li>
Build credibility with leaders and practitioners across the organization.</li><li>
Run and facilitate workshops, showcases, office hours, and adoption programs tailored to varying levels of AI maturity.</li><li>
Develop practical resources, playbooks, examples, and self-service materials to support responsible AI use.</li><li>
Develop and support AI communities of practice and champion networks.</li></ul><p><b>
Measurement &amp; Business Impact</b></p><ul><li>
Define and track adoption, engagement, and business impact metrics.</li><li>
Quantify outcomes including productivity gains, time savings, process improvements, quality enhancements, cost avoidance, and revenue opportunities.</li><li>
Communicate results, success stories, risks, and opportunities to leadership.</li></ul><p><b>
Cross-Functional Collaboration</b></p><ul><li>
Partner with Product, Technology, Data, Editorial, Operations, Learning &amp; Development, Legal, Security, and Governance teams within the News Group.</li><li>
Align AI adoption efforts with enterprise standards, product roadmaps, and responsible AI requirements.</li><li>
Act as a bridge between business users and technical teams within the News Group.</li></ul><p><b>
Required AI Expertise</b></p><p>
Candidates should demonstrate deep hands-on practical knowledge of:</p><ul><li>
Generative AI applications for productivity, research, communication, content creation, planning, and analysis.</li><li>
Advanced prompting techniques and workflow design.</li><li>
AI-enabled research, knowledge management, and collaboration workflows.</li><li>
AI-assisted content, creative, editorial, data, and operational use cases.</li><li>
Automation and emerging agentic AI capabilities.</li><li>
Enterprise AI considerations including privacy, governance, security, responsible use, copyright, and risk management.</li><li>
Major enterprise AI platforms including Microsoft Copilot, OpenAI, Adobe, and similar solutions.</li><li>
Rapid evaluation and adoption of emerging AI technologies and capabilities.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
10+ years of experience in digital transformation, innovation, enterprise technology, product adoption, or related fields.</li><li>
3 years of recent AI Adoption lead experience at the enterprise level.</li><li>
Deep hands-on experience with modern AI platforms and enterprise AI tools.</li><li>
Proven ability to apply AI solutions directly to business workflows and deliver measurable outcomes.</li><li>
Experience leading adoption programs, workshops, demonstrations, and stakeholder engagement initiatives.</li><li>
Strong ability to identify opportunities, develop practical solutions, and drive adoption from concept through implementation.</li><li>
Demonstrated success defining metrics and measuring business impact.</li><li>
Excellent communication, stakeholder management, and influencing skills.</li><li>
Ability to thrive in a fast-moving, evolving environment with multiple priorities.</li><li>
Experience presenting to executive and enterprise audiences.</li><li>
Ability to work on fast moving environment.</li></ul><p><b>
Desired Characteristics:</b></p><ul><li>
Experience in media, journalism, digital publishing, technology, or other high-velocity environments.</li><li>
Experience driving enterprise AI adoption or digital transformation initiatives.</li><li>
Experience developing communities of practice, champion networks, and enablement programs.</li><li>
Experience evaluating AI vendors and emerging technologies.</li><li>
Strong understanding of responsible AI, governance, privacy, security, and editorial considerations.</li></ul><p><b>
Additional Requirements:</b></p><p><b>
Hybrid: </b>This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.</p><p>
This position is eligible for company-sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.</p><p>
Salary range: $150,000 - $200,000 (bonus and long-term incentive eligible).</p><b><br>
Additional Information</b><p><br>
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.</p><p>
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.</p></div>

Director, Applied AI Innovation & Business Adoption

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.</p>
<p>As a <b>Senior Associate, Generative AI Engineer</b> in the <b>Chief Data and Analytics Office</b>, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.</p>
<p></p>Job responsibilities
<ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li>
<li>Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li>
<li>Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li>
<li>Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li>
<li>Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li>
<li>Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li>
<li>Optimize system performance, scalability, and cost across inference, storage, and compute</li>
<li>Define and track measurable outcomes, including objectives and key results aligned to business needs</li>
<li>Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li>
<li>Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li>
</ul><p></p>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li>
<li>3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li>
<li>Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li>
<li>Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li>
<li>Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li>
<li>Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li>
<li>Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li>
<li>Ability to define success metrics and write clear objectives and key results aligned to business expectations</li>
<li>Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li>
<li>Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li>
</ul><p></p>Preferred qualifications, capabilities, and skills
<ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li>
<li>Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li>
<li>Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li>
<li>Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li>
<li>Experience with multimodal large language model use cases (text plus image, speech, or video)</li>
<li>Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li>
<li>Experience measuring and improving model quality using offline evaluation and production monitoring</li>
</ul><p>#LI-RB3</p>
<b>ABOUT US</b><br>
<br>
<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'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' 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.</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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time. If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.</p>
<p></p><h2 class="jobSectionHeader"><b>Responsibilities</b></h2>
<ul><li>Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.</li>
<li>Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.</li>
<li>Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.</li>
<li>Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.</li>
<li>Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.</li>
<li>Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.</li>
<li>Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications &amp; Skills</b></h2>
<ul><li>Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.</li>
<li>Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.</li>
<li>Programming skills in C++, applied to performance-sensitive quantitative work.</li>
<li>Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.</li>
<li>Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.</li>
<li>Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.</li>
<li>Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.</li>
<li>Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>Beneficial Skills &amp; Qualifications</b></h2>
<ul><li>A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.</li>
<li>Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.</li>
<li>Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p></p><p>Joining Citi's Markets Quantitative Analytics team means working on problems that matter, alongside experienced practitioners on one of the most active equity derivatives businesses in North America. From day one, you will have genuine exposure to live trading activity and the opportunity to contribute to a collaborative, performance-driven environment focused on technical excellence and continuous development.</p>
<ul><li>Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.</li>
<li>Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.</li>
<li>Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.</li>
<li>Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.</li>
<li>A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.</li>
<li>A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.</li>
</ul><p></p><p>Apply now to bring your quantitative expertise to one of the most technically ambitious flow equity derivatives teams in the market and see your models deployed in a live trading environment from day one.</p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Risk Management
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Model Development and Analytics
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location:</b></h2>
New York New York United States
<p>-</p>
<h2 class="jobSectionHeader"><b>Primary Location Full Time Salary Range:</b></h2>
$109 120,00 - $163 680,00<br>
<p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
</p><p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Analytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<h2 class="jobSectionHeader"><b>Anticipated Posting Close Date:</b></h2>
ago 21, 2026
<p>-</p>
<h2 class="jobSectionHeader"><b>Automated Processing and AI</b></h2><br>
<br>
<p>We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.</p>
<p></p><p>Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.</p>
<p></p><p>Illinois residents &ndash; AI Notice and Right</p>
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

AVP Quantitative Analyst – Flow Equity Derivatives

Qureos

<p><strong>About the company:</strong></p><p> </p><p>We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in.</p><p> </p><p><strong>About the Role</strong></p><p> </p><p>As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run.</p><p> </p><ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul><p> </p><p>What You'll Do</p><p> </p><ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul><p> </p><p><strong>What You'll Bring</strong></p><p> </p><ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul><p> </p><p><strong>Bonus</strong>: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms.</p><p> </p><p>Comfortable working in dynamic environments with changing priorities and high ownership.</p><p> </p><p><strong>Why Join Us</strong></p><p> </p><p>You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer.</p><p> </p><p>If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.</p>

Forward Deployed Engineer

FTI Consulting, Inc.

<div><p><b>Who We Are<br>
</b></p><p><br>
FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world&rsquo;s top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations.
<br>
<br>
At FTI Consulting, you&rsquo;ll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you&rsquo;ll be an integral part of a focused team where you can make a real impact. You&rsquo;ll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you.
<br>
<br>
Are you ready to make your impact?
</p><p></p><p><b>About the Role
</b></p><p></p><p>The eDiscovery Innovation Team at FTI Consulting is expanding rapidly as we make key investments in applying Generative AI and Machine Learning to some of the world&rsquo;s biggest disputes, investigations, and litigations.</p>
<p></p><p>Applied Scientists should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality.</p>
<p></p><p><b>What You&rsquo;ll Do
</b></p><p></p><ul><li><p>Prototype, validate, and implement AI/ML solutions on diverse and constantly evolving client datasets</p>
</li><li><p>Apply the latest LLMs in Azure OpenAI and AWS Bedrock to tasks like:</p>
<ul><li><p>summarization</p>
</li><li><p>classification</p>
</li><li><p>entity extraction</p>
</li><li><p>text-to-query language generation</p>
</li></ul></li><li><p>Develop RAG pipelines, semantic search, and hybrid search</p>
</li><li><p>Create and implement new metrics, evaluation pipelines, and internal training/test datasets</p>
</li><li><p>Survey, test, and critique use of emerging technologies to enhance existing solutions and develop new capabilities.</p>
</li><li><p>Share your work with clients and colleagues and to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.</p>
</li><li><p>Build industry expertise and become a contributor in deploying our solutions into client architectures.</p>
</li></ul><p></p><p><b>How You&rsquo;ll Grow
</b></p><p></p><p>We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You&rsquo;ll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth. As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.</p>
<p></p><p><b>What You&rsquo;ll Need to Succeed
</b></p><p></p><p>Basic Qualifications
</p><ul><li><p>2+ years of practical, relevant experience building NLP/IR/ML systems, from ideation to production</p>
</li><li><p>Bachelor&rsquo;s degree or relevant experience</p>
</li><li><p>High level of analytical programming competency (e.g., Python, R)</p>
</li><li><p>Hands-on development experiment with LLMs, deep learning NLP models and traditional ML techniques</p>
</li><li><p>Ability to travel to clients and FTI office(s) as needed</p>
</li><li><p>Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship</p>
</li></ul><p></p><p>Preferred Qualifications
</p><ul><li><p>Experience with Elasticsearch, OpenSearch, or other Lucene technologies</p>
</li><li><p>Experience with C# and .NET</p>
</li><li><p>Experience with Docker and an understanding of Kubernetes</p>
</li><li><p>Solid software engineering skills for prototyping</p>
</li><li><p>Experience with working in cloud architectures (AWS, Azure, etc.)</p>
</li><li><p>Experience in a customer-facing role</p><br>
</li></ul><br>
<p></p><p><b><i>FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.<br>
</i></b></p><br>
<p><b>Compensation
</b></p><p>Minimum Pay: $101,500
<br>
Maximum Pay: $142,000</p>
<p>Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual&rsquo;s location, skills, level of experience, and qualifications.</p></div>

eDiscovery Data Scientist | Technology Consulting

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