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2 Job openings at Tethys Technology
Senior C++ Developer - Trading Systems

Greater Kolkata Area

0 years

Not disclosed

On-site

Full Time

Position Summary We are seeking an experienced Senior C++ Developer to join our Infrastructure team supporting high-frequency, low-latency algorithmic trading systems. The ideal candidate will be a hands-on technologist with strong design and development skills, a deep understanding of systems architecture, and the ability to lead projects independently in a fast-paced, globally distributed Responsibilities : Lead design and development efforts for mission-critical infrastructure powering algorithmic trading systems. Independently manage projects from inception to deployment, ensuring high performance and reliability. Provide technical guidance and mentorship to junior team members. Collaborate closely with global teams based in London and New York for cross-regional initiatives. Ensure systems meet rigorous latency and uptime requirements (24x7 Skills & Experience : Strong proficiency in C++ with expertise in multithreaded programming. Solid understanding of Object-Oriented Programming (OOP) with experience in C++, and familiarity with Java or C#. Hands-on experience with middleware messaging libraries (e.g., Tibco, 29West, or similar). Deep knowledge of networking protocols such as TCP, UDP, multicast/unicast. Proficient in memory management, low-level system performance tuning, and debugging. Comfortable working on Windows platforms; experience with Linux is a strong plus. Proven ability to develop and support high-availability, low-latency systems. Excellent communication skills in English, both written and Qualifications : Experience in algorithmic or high-frequency trading environments. Familiarity with the FIX protocol, market data distribution, and order handling systems. Ability to author technical documentation, including UML diagrams, data flow analysis, and design specifications. Experience with Agile development methodologies and tools. Why Join Us? Work with cutting-edge trading technologies in a performance-critical environment. Collaborate with world-class developers, quants, and traders. Opportunity to lead and innovate in a dynamic and intellectually stimulating industry. Competitive compensation and benefits package. (ref:hirist.tech) Show more Show less

Senior Data Scientist - Python

Itanagar, Arunachal Pradesh, India

7 years

Not disclosed

Remote

Full Time

Job Title : Senior Data Scientist Algorithmic Trading & Capital Markets Job Locations : Noida | Pune | Mumbai (Currently Work From Home) About The Role We are seeking an experienced and highly motivated Senior Data Scientist to join our dynamic team focused on Algorithmic Trading and Capital Markets. The ideal candidate will bring a strong academic background and a minimum of 7 years of relevant industry experience in data science and financial domains. Key Responsibilities Develop and optimize quantitative models for algorithmic trading strategies. Apply statistical inference, machine learning, and financial mathematics to capital market problems. Conduct research and analysis on derivatives pricing, risk modeling, and portfolio optimization. Work closely with cross-functional teams including traders, quants, and software engineers. Handle large datasets using Python, Pandas, and Numpy for deep analysis and model development. Design and manage databases for efficient data retrieval and storage. Required Qualifications Masters or Ph.D. in a Quantitative Field such as Computer Science, Mathematics, Statistics, Financial Engineering, or related disciplines. 7+ years of relevant experience in Data Science, preferably in capital markets or finance in : Python, Pandas, Numpy Statistical inference & machine learning techniques Financial mathematics & derivatives pricing Optimization theory Database technologies Job Perks Opportunity to work on cutting-edge financial and trading models. Collaborative and research-driven work environment. Flexible WFH setup (until further notice) (ref:hirist.tech) Show more Show less

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