Software Engineer II - Java , Scala , Python , Databricks
at J.P. Morgan
Posted 11 days ago
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- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Join JPMorgan Chase's Liquidity risk (LRI) team as a Software Engineer II focusing on Big Data/Java/Scala. You will design and implement a cloud-native liquidity risk management platform capable of processing 40-60 million transactions daily, with real-time risk analysis and advanced liquidity calculations. The role involves hands-on development across the full software development life cycle, collaboration with stakeholders, and applying secure, scalable coding practices within agile methodologies. The position is based in Mumbai, India, and requires 3+ years of hands-on development experience in Java, Python, Scala and Databricks-related technologies.
Location: Mumbai, Maharashtra, India
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 - Big Data/Java/Scala at JPMorgan Chase, you will join the Liquidity risk (LRI) team to design and implement the next generation buildout of a cloud native liquidity risk (LRI) management platform for JPMC. The Liquidity risk technology organization aims to provide comprehensive solution to managing the firm’s liquidity risk and to meet our regulatory reporting obligations across 50+ markets. The program will include strategic the buildout of advanced liquidity calculation engines, incorporate AI and ML into our liquidity risk processes, and bring digital first reporting capabilities. The target platform must process 40-60 million transactions and positions daily, calculate risk presented by the current actual as well as model-based what-if state of the market, build multidimensional picture of corporate risk profile, and provide ability to analyze it in real time
Job Responsibilities:
Executes standard software solutions, design, development, and technical troubleshooting
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Contributes to team drive for continual improvement of development process and innovative solutions to meet business needs
Applies appropriate dedication to support the business goals through technology solutions
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 3+ years applied experience
3+ years of hands-on development experience and in-depth knowledge of Java , Python , Scala, Spark, Databricks Bigdata related technologies
Hands-on practical experience in system design, application development, testing, and operational stability
Hands-on experience on Databricks
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
Emerging knowledge of software applications and technical processes within a technical discipline
Ability to work closely with stakeholders to define requirements
Interacting with partners across feature teams to collaborate on reusable services to meet solution requirements
Experience of working in big data solutions with evidence of ability to analyze data to drive solutions
Preferred Qualifications, Capabilities, and Skills:
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable wayExposure to cloud technologies (AWS) & Databricks
