Location: New York CitySalary: Market
We are a group of engineers collaborating with Product Managers, Clients, and Quants on a daily basis to build the next generation of Data Analytics. Rapidly expanding to tackle the challenge of producing high-quality data in high-frequency low-latency systems. Truly Fintech, bringing together the perfect combination of cutting-edge technology and complex financial products. Great place to build cross-asset financial knowledge on Indices, Rates, Equities, Credit, Foreign Exchange, and Commodities markets. Team spread across Manhattan and San Francisco.
We build scalable systems and use technology to:
bring transparency, efficiency, and excellence into financial marketsconnect to a variety of data sources across the worldstream high-frequency real-time data into analytics systemscleanse and credit data using statistical and machine learning algorithmsaggregate the clean data set and score output dataserve millions of data and analytics requests across thousands of users dailycredit the impact of real-world events, news, and other hypothetical events on financial marketsJob Requirements:
- Someone who has worked on the delivery of high-volume data
- Streaming Data Initiative using C++, Java, Scala, Python
- Strong communication, analytical, and problem-solving skills
- Solid understanding of data structures and algorithms
- Experience in agile and test-driven development
- Experience in designing and working with large-scale systems, full-stack development
- Interest in machine learning, finance, and open-source technologies
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