software engineer

senior data scientist

senior software engineer

senior ai engineer

senior data engineer

senior python developer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within Quantitative Execution Strategies Tech, 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 building critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Team Overview:
The QES (Quantitative Execution Strategies) infrastructure supports the execution of cross-markets intraday trading strategies. It is a large growth area for JP Morgan's markets franchise, and will see significant additional investment over the next year to further our excellence in the business. The team's responsibility includes the design, build and support of the platform. The work requires close collaboration with our front office partners from sales, trading and quantitative research.
Job Responsibilities:
<ul><li>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</li>
<li>Develops secure high-quality production code, and reviews and debugs code written by others</li>
<li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li>
<li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li>
<li>Acts as a front office developer within the QES technology team.</li>
<li>Collaborates closely with front office teams (trading, structuring) to support the QES platform.</li>
<li>Develops platform and visualization components required by the desk.</li>
<li>Utilizes principal technologies such as Java, Python and TypeScript (React) within the team.</li>
</ul>Required Qualifications, Capabilities, and Skills:
<ul><li>Formal training or certification on software engineering concepts and proficient advanced experience</li>
<li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>Advanced in Python programming language</li>
<li>Excellent analytical skills (i.e. problem solving)</li>
<li>Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.</li>
</ul>Preferred Qualifications, Capabilities, and Skills:
<ul><li>Experience of working in a front office environment within financial services</li>
<li>Knowledge of Java, Python, Typescript, React</li>
</ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan'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>

Senior Lead Software Engineer - Python / Java

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 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.
<h2 class="jobSectionHeader">Job Overview</h2>
Counterparty Credit Risk Analytics is a group within Citi Financial Risk Technology, responsible for developing the applications used for derivatives credit Risk and Basel Capital calculations Firm-wide.
The Counterparty Credit Risk Developer is an intermediate level position responsible for participation in the development and advancement of the derivatives credit risk application.
Core objectives will include developing and maintaining the applications calculating the Counterparty Credit Risk metrics. Additional objectives will include the contribution towards application execution analysis reports, monitoring and optimization of the application build and the enhancement of the end-to-end calculation test suite.
This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing.
 
It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, and exposure to high performance computing and cloud.
Responsibilities:
<ul><li>Develop and maintain Counterparty Credit Risk applications
</li><li>Enhance and support CI/CD processes, including build, testing, and release management.
</li><li>Optimize codebase performance and facilitate the transition to cloud-based workflows.
</li><li>Expand and execute test suites (unit, regression, integration) and conduct performance/memory profiling.
</li><li>Create and maintain comprehensive documentation for applications and processes.
</li><li>Collaborate with Quant and Technology teams to integrate model updates and new technologies.
</li><li>Analyze complex issues and provide evaluative judgments on business and system processes.
</li><li>Serve as a Subject Matter Expert (SME) for senior stakeholders and team members, exercising independent judgment.
</li></ul>Qualifications:
<ul><li>Programming experience in Python, including systems analysis and software application development.
</li><li>Proficiency with UNIX shell scripting (e.g., bash, ksh) and version control software like Git.
</li><li>Experience with CI/CD pipeline technologies, such as Jenkins.
</li><li>Outstanding analytical and problem-solving skills with a thorough and detailed approach to accuracy.
</li><li>Experience in AWS cloud a plus.
</li><li>Excellent verbal and written communication skills in English.
</li><li>Ability to collaborate effectively within a large team of developers.
</li><li>Capacity to work under pressure, manage deadlines, and take ownership of tasks.
</li><li>Master&rsquo;s degree or equivalent in computer science, mathematics, engineering, or physics.
</li></ul>-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
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.</div>

Counterparty Credit Risk Python Developer, AVP

<div>JOB DESCRIPTION 
 
 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial &amp; Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role.
Job responsibilities
<ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps</li><li>
Designs and implements data engineering solutions, leveraging modern big data technologies
</li><li>Drives 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>
Applies 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>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and proficient applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages- Python</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle</li><li>
Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications</li><li>
Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
</li><li>Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
</li><li>Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack</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>
Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector</li><li>
Experience working on recommendation systems, LLM applications or other AI/ML systems
</li><li>Practical experience with Kubernetes, EKS, Docker, MLOps</li><li>
Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases
</li><li>Prior experience collaborating with data scientists
</li></ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan'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>

Senior Lead Software Engineer - Python, Data, Cloud, AIML

<div>JOB DESCRIPTION 
 
 
Description
You will join a front-office engineering team that builds and operates core Rates trading tooling where correctness, resilience, and latency matter every day. The environment is fast-moving and highly collaborative, with strong expectations for production ownership, rapid iteration, and high-quality delivery.
Job Responsibilities<ul><li>
Build and enhance Python services and applications that power live Rates risk and P&amp;L, with a strong focus on low latency and predictable performance.</li><li>
Partner directly with traders and risk managers to turn time-sensitive requirements into reliable, production-ready solutions.</li><li>
Own production services end-to-end, including releases, monitoring, incident response, and root-cause analysis.</li><li>
Troubleshoot issues across distributed components, data flows, and runtime environments; drive fixes that reduce recurrence.</li><li>
Improve DevOps and operational readiness, including CI/CD, environment management, dependency management, and automation.</li><li>
Maintain strong engineering standards through code reviews, testing discipline, performance profiling, and clear documentation/runbooks. 
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Strong Python development skills, including writing production-quality code with solid testing and packaging practices.</li><li>
Experience building and operating production services, including production support and incident-driven troubleshooting.</li><li>
Practical SDLC discipline across design, implementation, testing, deployment, and release management.</li><li>
Experience with CI/CD and observability (monitoring, alerting, logs/metrics) to keep services stable and measurable.</li><li>
Ability to work closely with front-office stakeholders and deliver effectively when priorities shift.</li>
Strong debugging skills and comfort navigating multi-component systems. 
<li>
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Financial markets background, especially Rates trading, risk, or P&amp;L concepts.
</li><li>Exposure to Deephaven, including installation and dependencies (for example GKP, Java interoperability, and runtime operations).</li><li>
Low-latency/performance engineering experience (profiling, concurrency, and latency measurement).</li><li>
Understanding of UI programming and interactive workflows used by traders.</li><li>
Strong DevOps mindset (automation, environment consistency, and operational ownership).</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan'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>

Python Lead Software Engineer - Rates Live Risk & P&L

Information Tech Consultants

<div>
 
 
 We&rsquo;re Hiring: Big Data Developer | Start Date: 14th July 2026
 
 
 
 
 
 
 
 Job Title:
 
 Big Data Developer (Python)
 
 
 
 Location:
 
 Camden Town, London
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Salary:
 
 &pound;35,000 &ndash; &pound;45,000 per year
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 
 
 
 Job Description
 
 
 
 We are urgently hiring a Big Data Developer / Big Data Engineer with strong experience in Python. You will be responsible for building scalable data pipelines, ETL processes, and distributed data systems in a fast-paced environment.
 
 
 
 
 
 This is an excellent opportunity for candidates with a background in software development and data engineering, especially within large-scale data environments.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain Big Data applications
 </li>
 <li>
 Build, optimize, and manage ETL pipelines and data workflows
 </li>
 <li>
 Work with large-scale structured and unstructured datasets
 </li>
 <li>
 Perform code reviews, debugging, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 2&ndash;5 years of experience as a Big Data Developer / Python Developer / Software Engineer
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Basic knowledge of Scala, Java, Hadoop
 </li>
 <li>
 Good knowledge of SQL and database concepts
 </li>
 <li>
 Experience working in Linux/Unix environments
 </li>
 <li>
 Understanding of data structures, algorithms, and system design
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s in Computer Science, IT, Software Engineering, or a related field
 
 
 
 
 
 
 Additional Information
 
 
 <ul>
 <li>
 Must have valid UK work authorization
 </li>
 <li>
 Willingness to travel within the UK is required
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 Work on innovative and real-world technology projects
 
 
 Gain exposure to modern tools and development practices
 
 
 Be part of a supportive and collaborative team
 
 
 Excellent opportunities for learning, growth, and career progression
 
 
 
 
 
 Apply today if you're available to start on
 
 14th July
 
 and are looking for your next exciting opportunity.
 
</div>

Big Data Developer

<div>JOB DESCRIPTION 
 
 
Join us to shape the future of financial analytics and technology. You will lead impactful projects that drive advanced data engineering and AI solutions across global teams. We offer opportunities for career growth, collaboration, and technical excellence. Your expertise will help us deliver mission-critical systems and foster a culture of innovation. Be part of a team where your ideas and leadership make a difference. 
As a Lead Data Engineering &amp; AI Technical Initiatives in the Global Analytics team, you will guide technical direction and drive innovation in real-time data processing. You will collaborate with research and trading teams to deliver advanced analytics capabilities and support global business needs. Your role will focus on building robust tools, mentoring team members, and influencing product design. You will help shape our technical standards and foster a diverse, inclusive, and collaborative environment.
Job Responsibilities:<ul><li>
Lead technical initiatives across global analytics teams, providing guidance and direction in a high-velocity environment.</li><li>
Design, build, and optimize real-time data processing pipelines and applications to ensure reliability and performance.</li><li>
Leverage AI technologies to enhance data engineering workflows and automate SDLC processes.</li><li>
Collaborate with research and trading teams to onboard new datasets efficiently and consistently.</li><li>
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.</li><li>
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.</li><li>
Build and support robust tools and frameworks for quantitative research and production trading.</li><li>
Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards.</li><li>
Influence product design, application functionality, and technical operations to meet evolving business demands.</li><li>
Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI.</li><li>
Champion diversity, inclusion, and collaboration within global teams.</li></ul>
Required Qualifications, Capabilities, and Skills:<ul><li>
Applied experience in software engineering, preferably in large-scale, fast-paced financial environments.</li><li>
Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.</li><li>
Expertise in Python, KDB, or C++ for real-time data processing, application development, or data engineering.</li><li>
Working knowledge of AI technologies to support data engineering, analytics, or SDLC automation.</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><li>
Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies.</li><li>
Experience leading and mentoring teams in a global, collaborative environment.</li><li>
Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.</li><li>
Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.</li></ul>
Preferred Qualifications, Capabilities, and Skills:<ul><li>
Experience with market data venue and vendor data platforms.</li><li>
AWS experience; practical cloud native/cloud experience is a plus.</li><li>
Experience with Terraform and Kubernetes for managing production environments in public cloud.</li><li>
Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading
</li></ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan'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 - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

<div>JOB DESCRIPTION 
 
 
As a Senior RAD (Rapid Action Development) Developer in our Rates development team , you will to work in close partnership with quant researchers, traders, and technology teams. The role sits at the intersection of front-office trading and technology, with direct ownership of the tools traders rely on daily. This is a hands-on position suited to someone who thrives in a fast-paced trading floor environment and wants genuine proximity to the business.
Job Responsibilities
As a Senior Developer you will build, maintain, and enhance the desk's proprietary tools &mdash; including bespoke spreadsheets and python-based applications &mdash; ensuring traders have reliable, performant infrastructure for pricing, risk management, and Profit and Loss analysis. You will collaborate with quant research to translate model changes into production tooling, work alongside strategic technology partners on platform integration, and act as a first point of contact for desk-side technical issues. Priorities shift quickly, and the ability to triage, communicate, and deliver under pressure is essential. You will need to maintain , upgrade and improve the existing software to latest software and hardware versions recommended.
Required qualifications, skills, and capabilities
<ul><li>Minimum 5 years of hands-on development experience in VBA and XLLoop</li>
<li>Working experience in Python</li>
<li>Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices</li>
<li>Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases</li>
<li>Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders</li>
<li>Proven ability to gather requirements from business users and collaborate across multiple teams and functions</li>
<li>Capability to translate business needs into technical solutions and explain technical constraints in business terms
</li></ul>Preferred Qualifications
<ul><li>Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena</li>
<li>Knowledge of rates products including Swaps, Securities, Options, Cap Floors, and Repo</li>
<li>Familiarity with risk methodologies and PnL calculation frameworks with exposure to quantitative finance concepts and market risk measures</li>
<li>Experience with distributed systems and real-time data processing</li>
<li>Proficiency with relational and NoSQL databases</li>
<li>Understanding of regulatory reporting requirements in financial services</li>
<li>Ability to use AI tools for fast paced analysis and development
</li></ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan'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>

Front Office RAD Lead Software Engineer

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