1.54M jobs liveBrowse

Electronic Trading Support Engineer at Hudson River Trading · Katori

Hudson River Trading (HRT) is seeking an Electronic Trading Support Engineer to join our Trade Operations (TradeOps) team in Singapore. This team is responsible for managing HRT’s live trading environment, one of the most robust and efficient electronic trading platforms in the world. This includes configuring, monitoring, and optimizing the firm’s trading as well as handling risk, regulatory, and development tasks.

In a high-performance environment, immediate awareness of and reaction to systems and trading issues is essential. That’s where Electronic Trading Support Engineers come in. The TradeOps team's scope covers everything from systems infrastructure to compliance, risk management, overnight clearing, and performance improvement. The team focuses on automating common tasks and preparing for the unexpected. Your day could consist of debugging to get a process running in time for the market open, making a difficult on-the-spot decision that balances compliance, risk, and PnL during trading hours, or coordinating the technical rollout of a new trading strategy.

Responsibilities

Handle order flow from HRT’s trading desks
Respond to external market alerts and outages
Interface with exchanges and other external parties to support trading
Manage new initiatives and ensure a smooth trading day
Design trading workflows and translate trading requirements into automation workflows
Be the first line of defense when the inevitable happens, and the subject matter expert on recent changes to the production trading platform

Qualifications

Strong working knowledge of Linux systems
Working experience with Python
Bachelor’s degree in a quantitative discipline (CS, Engineering, Physics, Math, etc.)
Experience in APAC markets
2+ years of professional trading experience in quantitative trading, high-frequency trading (HFT), options market making or related fields
Strong foundational and practical knowledge in one or more of these asset classes: Equities, Futures, Options, Fixed Income, ETFs, Crypto
Previous experience communicating with traders, quants, and/or risk managers
Ability to work independently in a fast-paced, high pressure environment

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

Asks for