Data Derivatives Engineer

Location: New York City
Salary: 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:

1. bring transparency, efficiency, and excellence into financial markets
2. connect to a variety of data sources across the world
3. stream high-frequency real-time data into analytics systems
4. cleanse and credit data using statistical and machine learning algorithms
5. aggregate the clean data set and score output data
6. serve millions of data and analytics requests across thousands of users daily
7. credit the impact of real-world events, news, and other hypothetical events on financial markets

Job 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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