Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, and implement solutions on the Salesforce platform, enhancing CRM capabilities. Responsibilities include maintaining applications, collaborating on requirements, testing solutions, and troubleshooting issues.

The Network Engineer will design, build, and support both nationwide and global trading networks, handle network and security management, and troubleshoot existing networking projects. Responsibilities include maintaining routers and switches, performing network performance testing, and managing circuit outages while collaborating with various teams.

The Compliance Analyst/Associate will implement and maintain compliance policies, assist in resolving conflicts of interest, file regulatory reports, and respond to inquiries and exams. Additionally, they will manage the Global Code of Ethics and collaborate with legal counsel on document production for subpoenas and litigation.

As a Core Automation Engineer at Galaxy, you'll focus on designing and implementing automation solutions within IT, Infrastructure & Security. Responsibilities include collaborating across teams, coding for automated solutions, managing Linux environments, and overseeing observability and CI/CD pipelines.

Support Galaxy Digital’s trading and investment operations, manage OTC derivative trade capture, reporting, and settlement, ensure operational processes are documented and supported. Identify operational gaps and suggest improvements while performing daily trade reconciliations.

As a VP, Quant Developer in Risk Engineering at Galaxy, you will design, develop, and implement quantitative models and applications for Risk Management across various business functions. Collaborating with teams in risk, finance, and trading, you'll create solutions that enhance system resilience and efficiency in the evolving digital asset market.

As an Associate in Derivatives Engineering, you will support derivatives trading and develop data pipelines and APIs. Your role involves applying derivatives pricing frameworks and core software engineering principles, utilizing libraries like SciPy and NumPy. Experience in backend technologies, CI/CD automation, and production support, including cloud deployment, is essential.