Lead impactful projects at a dynamic investment firm with cutting-edge technology. Develop scalable solutions for financial data systems and trading applications. Collaborate with industry experts in a fast-paced, innovative environment.
Software Developer
in Information Technology PermanentJob Detail
Job Description
Overview
- Contribute to the development and maintenance of market data infrastructure for trading applications.
- Work with large-scale financial data sets sourced from industry-leading platforms.
- Collaborate with trading teams to understand data requirements and deliver tailored solutions.
- Enhance technical expertise in financial data systems and scalable software architecture.
- Participate in application maintenance, monitoring, and support to ensure system reliability.
- Contribute to the evolution of data architecture to handle growing data volumes efficiently.
- Engage in cross-functional integration of market data solutions with trading workflows.
- Document technical designs and uphold code quality standards through reviews and testing.
Key Responsibilities & Duties
- Develop and maintain applications processing feeds from Bloomberg BPIPE and other systems.
- Design solutions for efficient storage, retrieval, and distribution of financial data sets.
- Build robust software architecture spanning front-end, backend, and DevOps infrastructure.
- Collaborate with trading teams to provide data solutions supporting operations.
- Participate in system monitoring and support activities to ensure performance.
- Integrate market data solutions with existing trading systems and workflows.
- Document technical designs and maintain high code quality standards.
- Contribute to the evolution of data architecture for scalability and efficiency.
Job Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- 5-7+ years of software development experience with strong proficiency in Java.
- Solid understanding of software architecture principles for scalable applications.
- Experience with large data sets, including storage, retrieval, and processing techniques.
- Knowledge of database technologies and data modeling concepts.
- Understanding of DevOps practices for application deployment and monitoring.
- Preferred experience with market data systems or financial data feeds.
- Familiarity with JavaScript, Angular framework, and Apache Kafka is advantageous.
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