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    Bright Vision Technologies

    Algorithmic Trading Developer

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000ProgrammingToday

    About this role

    Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

    Job Title: Algorithmic Trading Developer Location: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ Years

    Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

    Job Summary:

    We are seeking an experienced Algorithmic Trading Developer to build high-performance trading, pricing, and risk management systems for fintech applications. The ideal candidate will have expertise in C++, Java, or Python, low-latency systems, market data, financial markets, and quantitative development, with experience building scalable, production-grade trading platforms.

    Key Responsibilities:

    • Design and develop low-latency trading, pricing, and risk systems.

    • Build market data pipelines, backtesting frameworks, and trading tools.

    • Optimize application performance, latency, and throughput.

    • Develop risk, P&L, and analytics solutions.

    • Collaborate with quants, traders, and engineering teams.

    • Troubleshoot production issues and maintain system reliability.

    Required Qualifications:

    • 6+ years of software engineering experience, preferably in fintech.

    • Strong programming skills in C++, Java, or Python.

    • Experience with low-latency systems, market data, FIX protocol, and financial markets.

    • Strong knowledge of risk management, performance optimization, and concurrency.

    Preferred Qualifications:

    • Experience with QuantLib, kdb+/q, or GPU-accelerated computing.

    • Familiarity with cloud-native fintech platforms or advanced quantitative methods.

    Interested in this opportunity? Apply today for immediate consideration!

    Email your updated resume:

    Call or Text: (908) 505-3545

    Learn more:

    Bright Vision Technologies is an Equal Opportunity Employer.

    Equal Employment Opportunity (EEO) Statement

    Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

    BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

    About Bright Vision Technologies

    Bright Vision Technologies
    Bright Vision Technologies

    Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.

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