Securities Lending Front Office Developer
HybridNew York City, New York, United States
Job Summary
Develop mission-critical trading platforms, order/stock loan systems, and market data solutions using Java, Spring, and Hibernate. Collaborate directly with trading desks, quants, and risk teams while maintaining automated testing frameworks and DevSecOps pipelines with Jenkins, Ansible, and SonarQube. Manage back-end and front-end technologies including Kafka, RabbitMQ, and databases like Oracle and Snowflake. This role requires 10+ years of experience in securities lending, ideally with FIS (Loanet/Loanex) or Global One platforms, and involves 2-3 days per week in New York City for local candidates. Final-round interviews include in-person sessions and coding tests.
Required Qualifications
- 10+ years of experience
- Hands-on experience in Java in Securities Lending development space
- In-depth knowledge of Securities Lending platforms experience (like FIS (Loanet/Loanex) or Global One)
- Experience with mission-critical trading platforms (Order/Stock Loan/Market Data Systems)
- BTCC experience
- Direct collaboration with trading desks, quants, and risk teams
- Expertise in DevSecOps methodologies and tools such as Jenkins, Ansible, Puppet Labs, Sona Type, SonarQube, Tenable, Invicti and Zero Networks
- Experience in development and maintenance of automated testing frameworks
- Solid understanding of back-end and front-end technologies (HTML, CSS, JavaScript)
- Bachelor's/master's degree in computer science or related field
- 5+ years of Java development experience, ideally in capital markets/financial services
- Experience with frameworks (Spring, Hibernate), messaging (Kafka, RabbitMQ), and databases (Oracle, SQL Server, Snowflake)
- Proficiency with Git and Agile development
- Strong multitasking, organizational, and communication skills
- Local candidates who can come for In-person interview in Final round
- USC/GC, H4 EAD visa status
Desired Qualifications
- some sort of AI platform like DL4J
- Murex
- Experience with AI/ML
- Experience and familiarity with Log observability tools such as Elastic Search/Kibana/Splunk stack
- Familiarity with pricing models, quantitative analysis, and P&L calculations
- Experience with leading industry platforms, including Quod, Flex Trade, Charles River Trader, Nuvo prime, and Murex
- Experience with cloud (Azure, AWS, Docker, Kubernetes)
- Knowledge of regulatory/risk/compliance and audit controls in Securities Lending space
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