| Securities Lending Front Office Developer at New York City, New York, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2893492&uid=d2c33ebe5269417c9b4e687d4fba29e4 From: Ravi Duvey, Tek Inspirations LLC [email protected] Reply to: [email protected] Job Description - Title : Securities Lending Front Office Developer Type : Onsite Location : New York City, NY Duration : 6+ months MOI : Virtual Must have excellent exp with trading clients! Do not submit anyone without LinkedIn Key skills : Java, Securities Lending, Lending Platform experience (like FIS (Loanet/Loanex) or Global One), BTCC, some sort of AI platform like DL4J is a plus, Murex is also a plus Really need more of a front office type of person (i.e., working with traders) Required Skills 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) Might be best to have a new job since these are different skills Direct collaboration with trading desks, quants, and risk teams Expertise in DevSecOps methodologies and tools such as Jenkins, Ansible, PuppetLabs, SonaType, 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) Bachelors/masters 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 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, FlexTrade, Charles River Trader, Nuvoprime, and Murex. Experience with cloud (Azure, AWS, Docker, Kubernetes) Knowledge of regulatory/risk/compliance and audit controls in Securities Lending space is plus. Keywords: artificial intelligence machine learning New York Securities Lending Front Office Developer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2893492&uid=d2c33ebe5269417c9b4e687d4fba29e4 |
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| 08:53 PM 05-Nov-25 |