Veracity Software Inc
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Location: New York City, 2-3 days/week
Note:
Local candidates strongly preferred. Final round interview will be in person, after 2-3 video rounds, and will likely include a coding test. This contract has an initial duration of six months with a likely extension and the possibility to convert to full-time after 6 months. Role: Java Developer - Swaps Location: New York City, 2-3 days/week Note:
Local candidates strongly preferred. Final interview in person, after initial video rounds, with a potential coding test. This position is a contract for six months, with a high chance of extension and potential full-time conversion. Key skills:
Java, Equities Financing, Swaps, Nuvo Prime, SwapOne, AI platform experience (e.g., DL4J), Murex is a plus. Job Summary:
We seek a hands-on Java Developer to join our Equities Financing Tech team, focusing on Swaps and synthetic financing products. Experience with trading platforms, vendor tools like Nuvo Prime and SwapOne, and AI/ML platforms such as DL4J is highly desirable. Key Responsibilities: Design, develop, and enhance Java-based systems for swaps lifecycle and synthetic equity financing. Collaborate with traders, product controllers, and operations to deliver comprehensive solutions. Integrate with vendor platforms to streamline trade flow and lifecycle management. Leverage AI/ML libraries for analytics, trade matching, or optimization. Ensure system high availability, performance, and scalability. Participate in code reviews, performance tuning, and support rotations. Required Skills & Experience: Strong Java skills, experience with multi-threading and low-latency systems. Understanding of Equity Swaps, Total Return Swaps, or synthetic financing products. Experience in Equities Financing or Prime Brokerage. Familiarity with Nuvo Prime, SwapOne, or similar platforms. Experience with AI/ML tools like DL4J or similar libraries. Experience with system integrations (risk, P&L, settlements). Strong analytical and communication skills, ability to work in fast-paced environments. Preferred Qualifications: Python or data science platform experience is a plus. Experience with Murex or similar risk/trade processing platforms. Knowledge of Kafka, REST APIs, messaging protocols (FIX). Understanding of regulatory and margin considerations in synthetic financing.
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Local candidates strongly preferred. Final round interview will be in person, after 2-3 video rounds, and will likely include a coding test. This contract has an initial duration of six months with a likely extension and the possibility to convert to full-time after 6 months. Role: Java Developer - Swaps Location: New York City, 2-3 days/week Note:
Local candidates strongly preferred. Final interview in person, after initial video rounds, with a potential coding test. This position is a contract for six months, with a high chance of extension and potential full-time conversion. Key skills:
Java, Equities Financing, Swaps, Nuvo Prime, SwapOne, AI platform experience (e.g., DL4J), Murex is a plus. Job Summary:
We seek a hands-on Java Developer to join our Equities Financing Tech team, focusing on Swaps and synthetic financing products. Experience with trading platforms, vendor tools like Nuvo Prime and SwapOne, and AI/ML platforms such as DL4J is highly desirable. Key Responsibilities: Design, develop, and enhance Java-based systems for swaps lifecycle and synthetic equity financing. Collaborate with traders, product controllers, and operations to deliver comprehensive solutions. Integrate with vendor platforms to streamline trade flow and lifecycle management. Leverage AI/ML libraries for analytics, trade matching, or optimization. Ensure system high availability, performance, and scalability. Participate in code reviews, performance tuning, and support rotations. Required Skills & Experience: Strong Java skills, experience with multi-threading and low-latency systems. Understanding of Equity Swaps, Total Return Swaps, or synthetic financing products. Experience in Equities Financing or Prime Brokerage. Familiarity with Nuvo Prime, SwapOne, or similar platforms. Experience with AI/ML tools like DL4J or similar libraries. Experience with system integrations (risk, P&L, settlements). Strong analytical and communication skills, ability to work in fast-paced environments. Preferred Qualifications: Python or data science platform experience is a plus. Experience with Murex or similar risk/trade processing platforms. Knowledge of Kafka, REST APIs, messaging protocols (FIX). Understanding of regulatory and margin considerations in synthetic financing.
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