6 Kdbq Jobs

As a highly skilled KDB+/q Developer, you will play a crucial role in the front-office technology team, specifically supporting algorithmic trading. Your primary focus will involve designing, developing, and optimizing time-series analytics systems tailored for high-frequency trading (HFT) and electronic execution strategies. Collaboration with quants, traders, and technologists will be essential to deliver robust, low-latency solutions for analyzing and visualizing market microstructure data, execution quality, and strategy performance. Key Responsibilities: - Design, develop, and maintain KDB+/q-based data capture, analytics, and visualization platforms. - Optimize time-series data queries...

As an experienced KDB+ Developer, you will be an integral part of the team, focusing on designing and developing high-performance KDB+/q solutions for market data storage and real-time analytics. Your responsibilities will include building and maintaining streaming analytics systems, optimizing existing KDB+ databases, and collaborating with various teams to effectively implement business requirements. Additionally, you will provide technical guidance, participate in system architecture discussions, and ensure the high availability and reliability of mission-critical data systems. Key Responsibilities: - Design and develop high-performance KDB+/q solutions for market data storage and real-ti...

As an experienced Python developer in the financial industry, you will be responsible for a range of key tasks and should have a strong background in Equities Algorithmic trading stack, transaction data, and FIX protocol. Your role will involve working with market, transaction, and reference data for various financial products like Equities, FX, Futures, Indices, and options. Key Responsibilities: - Utilize different market data vendors API and have experience working with their data. - Implement high capacity/low latency infrastructure like solace. - Manage software development, build, and deployment using tools such as JIRA, Git, Jenkins, Geneous (ITRS), and scripting languages. - Conduct ...

You are a Quant Trader/Researcher with at least 3 years of experience in the Indian market. As part of our dynamic trading team in Gurgaon, you will be responsible for designing, implementing, and executing data-driven trading strategies across various asset classes. Your role will involve developing, backtesting, and deploying algorithmic trading strategies using historical and real-time market data. You will also monitor and manage the performance of live strategies, optimize models, and conduct quantitative research to enhance existing models. Collaboration with developers and researchers is crucial to enhance trading infrastructure, data pipelines, and execution systems. Risk analysis an...

As a KDB+ Developer with 3-5 years of experience, you will be an integral part of our Tick Data Analytics Platform Team, dedicated to crafting solutions for our strategic KDB+ Platform. In this role, you will collaborate closely with various trading platforms and compliance functions, handling and analyzing substantial datasets within a fast-paced, low-latency environment. Your key responsibilities will include managing data from diverse business areas, translating requirements into user analytics, and designing solutions that support regulatory initiatives, pricing/trading algorithms, back testing, and PnL attribution. You will also be tasked with rapidly prototyping solutions for Front Off...

The position of Quant Researcher based in Gurgaon requires a highly motivated and analytical individual with over 2 years of experience in quantitative trading or research roles. As a Quantitative Trader, your primary responsibility will involve designing, implementing, and executing data-driven trading strategies across various asset classes. You will be operating in a fast-paced and collaborative environment that values creativity, precision, and agility. Key Responsibilities: - Develop, backtest, and deploy algorithmic trading strategies by utilizing historical and real-time market data. - Monitor and manage the performance of live strategies, continuously optimizing and refining models b...