You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II - Python with AI/ML, React, AWS & Quantitative Analysis at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You'll be responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job responsibilities :

Develop and maintain Python-based applications and tools for the valuation of fixed income and derivatives products. Design and implement machine learning models to enhance product valuation. Work with existing models and AI/ML teams and provide better solutions. Collaborate with Quantitative Analysts to integrate AI/ML solutions into financial models. Optimize existing algorithms and code for performance and scalability. Implement and manage CI/CD pipelines using Jules and GitHub. Develop front-end applications using React for data visualization and user interaction. Utilize AWS services for cloud computing and deployment, ensuring scalability and reliability. Conduct data analysis and visualization to support decision-making processes. Stay updated with the latest trends and technologies in AI/ML, quantitative finance, and cloud computing.
 

Required qualifications, capabilities, and skills :

Formal training or certification on software engineering concepts and 2+ years applied experience. Proven experience as a Python Developer, with a focus on AI/ML applications. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with quantitative finance libraries such as Quantifi or similar. Experience in developing UI applications using React and Working proficiency in developmental toolsets like GIT/Bit Bucket, JIRA, Maven.  Proficiency in automation and continuous delivery methods. Strong analytical skills and problem-solving ability Working knowledge of AWS & certification is must. Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.     Design, deploy, and manage AWS cloud infrastructure using services such as EC2, S3, RDS, Kubernetes, Terraform, Lambda, and VPC. Working knowledge of AWS Glue, AWS Athena & AWS S3. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Proficiency in React for front-end development  Excellent problem-solving skills and attention to detail and Ability to work collaboratively in a fast-paced environment.
 

Preferred qualifications, capabilities, and skills :

Bachelor’s or Master’s degree in computer science or a related field. Strong understanding of Fixed income and Derivatives markets Familiarity with Financial data providers, APIs & reference data Knowledge of statistical analysis and data visualization tools Strong communication skills and ability to present complex information clearly Knowledge of Athena or a similar framework is essential.