Software Engineer – Python

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    Company NameHudson River Trading
    Company TypePrivate
    Job TypeFull-Time
    Salary RangeMarket Competitive
    LocationSingapore, Singapore
    QualificationsBachelor’s Degree
    Experience5 Year+

    Job Overview

    Hudson River Trading (HRT) is seeking a Software Engineer with Python expertise to join their team in Singapore. This role involves researching and developing advanced automated trading algorithms within a sophisticated computing environment, contributing to HRT’s innovative approach to algorithmic trading and quantitative finance.

    Company Overview

    At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world’s most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading. HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm. Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter. We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research. Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to [email protected].

    Quick Details

    • Salary Range: Market Competitive
    • Job Type: Full-time
    • Qualifications: Bachelor’s Degree
    • Experience: 5 Year+

    Key Responsibilities

    • Design, develop, and maintain high-performance Python-based automated trading algorithms.
    • Contribute to building and optimizing a sophisticated, low-latency computing environment.
    • Collaborate with quantitative researchers and engineers on cutting-edge financial modeling.
    • Ensure the reliability, efficiency, and scalability of critical trading systems.
    • Participate actively in code reviews, design discussions, and knowledge sharing.
    • Analyze complex market data to implement and refine trading strategies.

    Requirements

    • Strong proficiency in Python programming and related libraries.
    • Demonstrated experience in high-performance computing or distributed systems.
    • Solid understanding of data structures, algorithms, and software design principles.
    • Ability to thrive in a fast-paced, quantitative trading environment.
    • Excellent problem-solving, analytical, and debugging skills.
    • Bachelor’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.

    Benefits

    • Opportunity to work at the forefront of algorithmic trading innovation.
    • Collaborative environment with brilliant minds from diverse, highly technical disciplines.
    • Competitive compensation package and comprehensive benefits.
    • Access to one of the world’s most sophisticated computing and research environments.
    • Continuous learning and professional development opportunities.
    • Be part of a firm committed to fair and transparent market practices.

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