Software Engineer III, Python, Markets Technology
Software Engineer III on JPMorgan Chase's Athena Risk Team in Singapore, designing, building, and troubleshooting Python-based markets/risk technology in an agile setting — writing secure production code, producing architecture artifacts, and analyzing large data sets.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline
- 5+ years of software engineering experience
- Mastery in Python for designing, coding, testing, and software delivery
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency in one or more languages: Python, Java
- Familiarity with cross-asset/cross-business platforms
- Experience developing, debugging, and maintaining code in a large corporate environment
- Knowledge of database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes (e.g., cloud, AI, ML, mobile)
Nice to have
- Overall knowledge of the financial services industry and their IT systems
- Intermediate to advanced Python coding experience
- Practical experience with AI development tooling
- Exposure to cloud technologies
Full description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Athena Risk Team, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.
Job responsibilities
- 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
- Uses AI tools to accelerate design and development, and advance stability
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements and optimizations in code and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines
- 5 or more years of software engineering experience. Mastery in Python with respect to designing, coding, testing , and software delivery
Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages - Python, Java
- Need familiarity with cross-asset/cross-business platforms
- 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
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)