Sr. Java/Python Full Stack Developer Fixed Income - Investment Strategy NJ

JSR is looking or a Senior Full Stack Developer with multiple years of experience working directly with investment strategy and fixed income for a contract to hire position. Our direct client is a Fortune 50 global asset manager offering active solutions across all fixed income markets.

You will work within our client's r technology group is a dynamic, fast-paced environment, working on a new on prem / hybrid cloud platform which is being built from scratch. Qualified candidate will have a proven background of building complex, full-stack applications in Java/Python and JavaScript on Angular and be a part of an important a global technical transformation.

What You Will Do:

• Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
• Align with the Investment Tech Product Owner and Scrum Master in assessing business needs and transforming them into scalable applications.
• Build and maintain code to manage data received from heterogenous data formats including web-based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII).
• Work with industry wide caching frameworks (HazelCast, MemSQL, MemCach) to leverage distributed caching methodology and optimize application performances
• Design and implement event base services leveraging messaging frameworks such as Kafka, Zero-MQ, Rabbit-MQ in order to build close to real-time streaming framework.
• Help build powerful UI leveraging common JS frameworks (Angular, React ) leveraging our internal Application Development Framework.
• Design and support effective storage and retrieval of large internal and external datasets and be forward think about the convergence strategy with our AWS cloud migration.
• Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance.
• Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.
• Proven ability to work quickly in a dynamic environment.
• Bachelor's degree in Finance, Statistics, Economics, Computer Science or a related field.