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 the AI Research 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’s business objectives.
This is a hands-on technical leadership role, and you will work with AI Researchers across any number of fields including Explainability (XAI), Fairness, Optimization, Synthetic Data, Cryptography and Markets/Trading Research (and many more). Whilst working closely with the researchers, your core deliveries will centre around the technology required to make AIML innovations and research operate at scale within a top tier investment and retail banking businesses.
The AI Research team applies novel AI techniques to the toughest challenges in financial services. We are looking for an experienced developer to help evolve projects from early-stage code into production.
Job responsibilities
- 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
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
- Leverage and integrate the latest AI advances into the firm’s workflow in a scalable and secure manner
- Create robust pipelines for repeatable model delivery
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering* concepts and advanced applied experience
- Strong track record of developing high quality, production code in Python
- Exceptional Cloud Engineering skills (both public and private), and a proven track record of navigating a complex technical environment and delivering robust solutions within those constraints
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of engineering methodologies such as CI/CD, Application Resiliency, and Security
- Up to date understand of Model Development Life cycle, and best practices for managing the fast-moving model provisioning environment
Preferred qualifications, capabilities, and skills
- Experience in AI an advantage, interest in AI a must!
- Experience with AWS and Kubernetes
- Interest / understanding of statistics and optimization techniques
- Experience of integrating new tools/libraries into frameworks
- Track record of Big Data specific infrastructure (eg Spark) to achieve scale
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.
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.
