Job Description

As a data scientist at CFL, you’ll be challenged from the outset to collaboratively have real impact on the firm’s performance through the application of our financial modeling tools and solutions in an immediate and significant way. You will be provided with an environment to both prove and continually improve your data analysis skills, while enjoying a quality of life in the Austin, TX area unmatched by nearly any place offering a comparative opportunity. You will use your data analysis skills to solve problems that help reveal the nature of how 21st century financial markets work in the age of machine learning and AI. You will help iterate, automate and improve the most vital tasks of the data science division of our firm.

We are an early-stage start-up, enjoying the advantages of being a small but mobile, flat and elite team able to quickly implement some of the most exciting new technologies while leveraging our team’s past experience deep in the structure of the financial markets. We are looking for entrepreneurial-minded individuals who thrive off of scientifically solving real-world problems, in a collaborative environment, who prefer the freedom to execute and exercise their skills on top priorities, and who demonstrate a self-oriented “can-do” attitude.

Compensation: Negotiable

Job Qualifications:
- Excellent written and verbal communication skills.
- Driven and self-orienting. Our team is comprised of individuals who tend to self-prioritize and self-orient to challenges and solve them.
- Proven track record of self-directed or self-motivated scientific and/or data-based projects.
- Collaborative attitude. Someone who understands the nature of how one plus one can equal far more than two.
- Mastery of Python.
- Deep understanding of machine learning and statistical predictive modeling techniques.
- Strong understanding of data structures and algorithms.

Plus, but not required:
- Familiarity with Matlab and Java.
- Big-data ETL pipeline design experience a plus.
- Experience in the tech industry or in a real-world application research project.
- Experience building and deploying distributed sql & nosql databases.
- Distributed, GPU-based cluster architecture.