Quantitative Researcher

3 weeks ago

San Francisco, United States Dexterity Capital Full time

Summary

We love challenges. So we built Dexterity Capital, a quantitative trading firm focused on solving the hardest problems in Finance. By combining brilliant people, rich proprietary datasets, and the talent of world class researchers, we've built an algorithmic execution engine that trades billions of dollars every single day. At Dexterity, research outcomes drive more than just superior risk adjusted returns. Innovation is at the core of who we are, what we do and a requisite to success in a wide range of financial markets.


About Dexterity Capital

We value growth, autonomy, and getting things done.

- We maintain a startup environment -- everyone has lots of responsibility and makes a significant impact

- We currently are a team of 11 people and are planning to double over the next year

- We offer highly competitive compensation and comprehensive benefits

At Dexterity Capital, we prioritize helping our employees learn new skills and grow quickly. This position would be a great fit for a season researcher eager to explore new avenues in the Cryptocurrency space, or simply have more ownership, responsibility, and opportunity.


What you'll be doing

- Collecting and Analyzing tens of thousands of data sets

- Identifying patterns and extracting insights into the complexities of financial markets

- Leveraging Statistical Analysis, Machine Learning and Data Engineering skills

- Applying the results of research to forecasts and predictive trading models

- Collaborating with other researchers, traders and hardware/software developers to push for the best expression of new ideas


About You

- Proven success with profitable trading strategies

- Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines

- Strong experience developing statistical models in a trading environment

- Proven success working with large datasets and developing statistical models

- Masters or PhD in Statistics, Physics, Mathematics (or related subject)

- Expertise with Python and common data analysis packages and tools


Great to Have

- Expertise in Java/C/C++

- Experience with High Frequency Trading (Milliseconds or Below)

- Experience with Various Cloud Services/Providers

- AWS, Alibaba

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