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3.0 - 7.0 years

0 Lacs

karnataka

On-site

Millennium is a top tier global hedge fund that is dedicated to leveraging innovations in technology and data science to address complex business challenges. We are in the process of building a robust technology team to create our next generation in-house risk and analytics tools. The primary focus of this team will be on developing and maintaining the in-house VaR systems that will support risk management and trading across Equities, Fixed Income, Commodities, Credit, and FX business at Millennium. Working at Millennium offers a dynamic and fast-paced environment with exceptional growth opportunities. As a member of our technology team, your responsibilities will include collaborating closely with quants, risk managers, and other technologists in New York, London, Tel Aviv, and Miami. Together, you will be tasked with developing multi-asset analytics, stress testing, and VaR for our in-house risk and guidelines platform. Mandatory Requirements: - Possess strong analytical and mathematical skills, with a keen interest and/or exposure to quantitative finance. - Hold at least a BSc in Computer Science or a related field in financial engineering. - Have significant experience working with modern C++ or Java. - Proficient in using Git/GitHub. - Experienced in Multi-threading, Client-Server, and Distributed computing. - Familiarity with working in a Linux environment. - Solid understanding of various Design Patterns, Algorithms, and Data structures. - Proficient in SQL Database development. - Detail-oriented, organized, demonstrating thoroughness, and taking strong ownership of work. - Previous experience working in a production environment. Preferred Requirements: - Experience with financial mathematics and statistics. - Proficiency in Java programming. - Familiarity with Docker/Kubernetes. - Experience with at least one cloud provider (AWS Preferred). - Knowledge of NoSQL databases like MongoDB. - Familiarity with Caching technologies such as Redis. - Experience with Messaging libraries/systems like Kafka/Solace.,

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