Company Description Tethys Technology, Inc. is an industry leader in financial software development, algorithmic trading, and market-microstructure research. Since 2001, the firm has focused on building analytics and tools that help clients achieve optimal trade execution and robust performance benchmarking.

Its clients include asset managers, hedge funds, CTAs, and broker-dealers who rely on Tethys solutions for real-time execution analysis and historical simulations. The platform enables users to implement diverse investment strategies, manage risk, and conduct transaction cost analysis (TCA) across asset classes and global markets from a single interface. Tethys combines deep expertise in quantitative finance, market microstructure, and high-performance computing to deliver advanced trading technology.

Role Description This is a full-time remote role for an Algorithmic Trading Support Analyst. The analyst will monitor algorithmic trading systems in real time, respond to client inquiries, and troubleshoot technical and functional issues related to trade execution and connectivity.

Daily responsibilities include investigating and resolving incidents, documenting root causes, and coordinating with development and quantitative teams to improve system stability and performance. The role involves configuring and testing new client setups, assisting with onboarding, and supporting upgrades and releases in production environments.



The analyst will also help analyze trading performance, prepare execution and TCA reports, and contribute feedback to enhance product features and client experience.

Qualifications

- Solid analytical and problem-solving skills, with the ability to diagnose real-time trading and connectivity issues under time pressure.
- Solid understanding of financial markets, trading workflows, and order lifecycle (preferably with exposure to equities, futures, or multi-asset algorithmic trading).
- Technical proficiency with tools commonly used in trading support (e.g., SQL for data queries, scripting or programming experience in Python or similar, familiarity with Linux/Unix environments and log analysis).
- Experience in client-facing support, operations, or product roles, with clear written and verbal communication skills and a focus on service quality.
- Ability to work independently in a remote setting, manage multiple priorities, and collaborate effectively with distributed technology and quant teams.
- Bachelor’s degree in a quantitative, technical, or business discipline such as Computer Science, Engineering, Mathematics, Finance, or a related field.
- Prior experience in electronic trading, market microstructure, or financial software support is highly beneficial.
- Familiarity with FIX protocol, market data feeds, and transaction cost analysis tools is a plus.

📌 Algorithmic Trading Support Analyst (Delhi)
🏢 Tethys Technology
📍 Delhi