Bangalore, Karnataka, India
Information Technology
Full-Time
JPMorganChase
Overview
Job Description
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
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.
- 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.
- 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.
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