NOTE: This role is open in either NYC or Santa Monica, CA offices.
Company is building next-generation quantitative analysis software with consumer design principles at the center. The system is built in Go, Python, and react and designed to capture the state-of-the-world in the private markets (both historical and real-time) and yield useful financial analysis, fast. We’re making software that’s delightful to use, helping both investors make brilliant investment decisions and operators understand the financial metrics that matter. The system enabling this requires a true-multidisciplinary approach to build- from data science to high-performance distributed computing to human-centered design and research.
The Backend Engineer- Analysis (BEEA) will make sense of the private financial markets by starting from ‘what we know to be true’ and building abstractions that help us understand how various financial instruments have performed (given what we’ve observed) and might perform (given what we predict to be true). This system let will let us “xray” the inner workings of the private markets with a toolkit that includes python for all it’s data analysis prowess, functional/oo design mastery to build composable financial models, and distributed computation for when there’s lots of data to crunch. The output of this system is the foundation upon which teams of data scientists build their analysis, whether that be a slew of intermediate SQL tables or APIs that let teams quickly prototype more powerful types of analysis.
- 4+ years software engineering experience
- Strong functional/oo programming fundamentals
- Experience analyzing “large” datasets (>100G) quickly (sub 5 minutes)
- Bonus: Experience with machine vision/nlp to extract financial terms from contracts
- Bonus: Experience with high performance parallel/distributed computation