Antares Solutions

Antares Solutions

Front Office Developer

New York, USA

No sponsorship$145k-$170kDetected 90 days ago
ReactSQLPostgreSQLRESTCommunication

About the role

  • Base Salary Range $145,000 - $170,000 To learn more, visit www.antares.com.
  • Antares is an Equal Opportunity Employer.
  • Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Responsibilities

  • Develop tools and applications that improve trading automation, workflow efficiency, and decision‑making
  • Collaborate directly with traders and portfolio managers to understand needs and deliver high‑impact solutions
  • Troubleshoot, support, and continuously improve front‑office systems in a fast‑paced environment
  • Participate in the future build‑out of AI capabilities for the trading desk
  • Demonstrable experience building analytics and data-driven solutions using Python.
  • Experience developing and delivering reporting solutions using tools such as Power BI.
  • Exposure to enterprise architecture principles, with the ability to build solutions aligned to broader system, information, and integration strategies.

Requirements

  • 5+ years of experience working with trading technology in an asset management environment, with exposure to Fixed Income and/or Private Credit.
  • Proven understanding of credit markets, including loan trading and private debt instruments.
  • Strong SQL expertise with hands-on experience across Oracle, PostgreSQL, and SQL Server.
  • Familiarity with modern application architectures, including React, REST APIs, microservices, and service-oriented architectures.
  • Must have authorization to work in the United States
  • May be required to comply with pre‑employment screening, including but not limited to drug testing, reference verification, and background checks

Compensation

  • $145,000 - $170,000

This listing is sourced directly from Antares Solutions's careers page and normalized into a canonical job model.