Job Description

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 - Big Data/Java/Scala at JPMorgan Chase within the Liquidity Risk (LRI) team, you will be instrumental in designing and implementing the next generation buildout of a cloud native liquidity risk management platform. Our technology organization is committed to providing comprehensive solutions for managing the firm's liquidity risk and fulfilling our regulatory reporting obligations across more than 50 markets. The program will involve strategic development of advanced liquidity calculation engines, integration of AI and ML into our liquidity risk processes, and the introduction of digital-first reporting capabilities. The target platform is expected to 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, construct a multidimensional picture of the corporate risk profile, and provide the 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 Adds to team culture of diversity, equity, inclusion, and respect 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 Java, Scala, Spark, Bigdata concepts and 2+ years applied experience Hands-on development experience and in-depth knowledge of Java, Scala, Spark, Bigdata related technologies Hands-on practical experience in system design, application development, testing, and operational stability 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

Preferred Qualifications, Capabilities, and Skills:

Experience of working in big data solutions with evidence of ability to analyze data to drive solutions Exposure to cloud technologies (AWS)

ABOUT US