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Urgent Hiring :: Equities Front Office Developer :: Hybrid- NY at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2672210&uid=277d7061ae3248daa13bf4ff500af8be

From:

PRANJNYA,

ADVENTATECH

[email protected]

Reply to: [email protected]

Job Description

Title: Equities Front Office Developer

MOI: Really need more of a front office type of person (i.e., working with traders)

Location: New York City 2-3 days/week

Local candidates strongly preferred, interview will be f-f for final round (after 2-3 video rounds, will likely have a coding test)

Key skills: Java, Equities Financing, Swaps, Nuvo Prime and /or SwapOne, some sort of AI platform like DL4J is a big plus, Murex is also a plus

Local candidates strongly preferred, interview will be f-f for final round (after 2-3 video rounds, will likely have a coding test)

Required Skills

Hands-on experience in Java in Equities development space.

In-depth knowledge of equities, equity derivatives, and trading workflows (including FIX protocol)

Experience with mission-critical trading platforms (Order/Stock Loan/Market Data Systems)

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

Good to Have

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 Equities trading space is plus.

Keywords: artificial intelligence machine learning
Urgent Hiring :: Equities Front Office Developer :: Hybrid- NY
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2672210&uid=277d7061ae3248daa13bf4ff500af8be
[email protected]
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06:29 AM 12-Aug-25


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