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A global financial services firm is seeking a skilled Market Data Engineer to manage and optimize real-time market data systems. Ideal candidates will be proficient in Linux, have a solid understanding of market data feeds, and be able to collaborate effectively with various stakeholders. This role emphasizes data integrity and performance, offering an exciting opportunity in a dynamic environment.
RTP ICAP operates at the heart of the world’s financial, energy and commodities markets. We are professional intermediaries playing a pivotal role in the world’s financial markets, covering FX, Rates, Credit, Equities, Energy & Commodities. Globally, we are a leading provider of market participants, with execution via a range of regulated venues, covering a full spectrum of over-the-counter (OTC) asset classes. Matching buyers and sellers, we facilitate the development of liquidity and price discovery in these markets and provide insight and context to our clients. We operate a hybrid model where brokers provide business-critical intelligence to clients. It’s supplemented by proprietary screens for historical data, analytics and execution functionality.
Our clients include banks, insurance companies, pension and hedge funds, asset managers, energy producers and refiners, as well as risk and compliance managers and charities. We are known in the market for our Honesty, Integrity and Excellence in the provision of service to our clients. Above all else, we Respect our clients and each other, without bias. Employees are expected to uphold the values and principles of our cultural framework in performance of their job duties.
We are seeking a skilled Market Data Engineer / Real Time Market Data Support Engineer (Linux and Cloud) to join our team and play a key role in managing and optimizing financial real-time market data systems. The ideal candidate will have a strong background in market data feeds, and experience working with financial exchanges and vendors. This role requires expertise in software development, data engineering, and infrastructure to ensure seamless data distribution and availability.