This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Algorithmic Trading Developer based in United States. This role offers the opportunity to design and develop advanced trading technologies that support high-performance financial systems. The position focuses on building scalable, low-latency solutions for trading, pricing, risk management, and market analytics. You will work at the intersection of software engineering, quantitative finance, and financial markets to create reliable production-grade platforms. The role combines technical expertise, performance optimization, problem-solving, and collaboration with specialized teams. You will contribute to the development of systems where speed, accuracy, and scalability are critical to business success. This is an opportunity for an experienced developer to make a direct impact within a remote, technology-driven environment. ### Accountabilities: - Design, develop, and maintain high-performance trading, pricing, and risk management systems for financial technology applications. - Build and enhance market data pipelines, backtesting frameworks, and trading tools to support quantitative strategies. - Optimize application performance, latency, scalability, and throughput for mission-critical systems. - Develop risk management, profit and loss (P&L), analytics, and reporting solutions. - Collaborate closely with quantitative researchers, traders, and engineering teams to deliver effective technology solutions. - Troubleshoot production issues, improve system reliability, and support ongoing platform performance. - Develop scalable and maintainable software solutions using modern engineering practices. - Contribute to architecture decisions and continuous improvements across trading technology platforms. ## Requirements: - 6+ years of software engineering experience, preferably within fintech, financial services, or quantitative technology environments. - Strong programming experience in C++, Java, or Python. - Hands-on experience developing low-latency systems, market data solutions, and production-grade trading applications. - Knowledge of financial markets, trading systems, and protocols such as FIX. - Strong understanding of concurrency, performance optimization, and system design principles. - Experience building reliable, scalable applications in complex technical environments. - Strong analytical and problem-solving abilities with attention to detail. - Ability to collaborate effectively with cross-functional teams, including engineers, quantitative professionals, and business stakeholders. - Experience with QuantLib, kdb+/q, GPU-accelerated computing, cloud-native fintech platforms, or advanced quantitative methods is a plus. ## Benefits: - Competitive annual salary range of $100,000–$150,000 based on experience and qualifications. - Fully remote work opportunity across the United States. - Full-time employment with opportunities for long-term career growth. - Opportunity to work on advanced financial technology solutions. - Collaborative environment focused on innovation and technical excellence. - Exposure to cutting-edge trading systems, quantitative technologies, and scalable software development. - Career development opportunities within a growing technology-focused organization. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1