Candidate Descriptions

Investment Analyst

We are looking for hard-working candidates with genuine enthusiasm for solving complex problems to join us as Investment Analysts.  ATX focuses primarily on the energy markets, where taking investment positions has a significant impact on real-world outcomes.  Our investment process involves managing massive amounts of information to come to targeted conclusions about our markets.  Analysts can expect intellectual challenges that derive from poorly understood dynamics in our target markets, and will be critical in scaling the firm’s understanding of how these markets “really work.”  A successful analyst will begin by refining existing investment strategies and will grow to develop new strategies.

Candidates should be:

  • Highly quantitative

  • Have a strong academic record

  • Have excellent communication skills

  • Be team-players 


Unlike larger banks and commodity trading shops, we operate in smaller groups with much less specialized roles.  In addition to above-market compensation, our greatest advantage is that we offer dramatically higher rates-of-learning than are found in more traditional or specialized investment roles, as analysts will be given a high level of responsibility and freedom.  Applicants who are comfortable with numbers, rigorous analysis and who want to learn how the markets work -- regardless of specific major (sciences, engineering, humanities, or economics) -- will thrive in our information-rich environment.

Full-Stack Engineer

As a Full-Stack Engineer at Alphataraxia, you will be responsible for building and maintaining the software our analysts use to develop and run investment strategies. This includes trading software, web dashboards, backtesting frameworks, ETL pipelines, parallelization systems, and more.


In addition to developing our core business modules, the technology team at Alphataraxia plays a crucial role in supporting our analysts using these tools. We are looking for a team member who enjoys helping others and communicating technically-complex topics to a sophisticated group of quantitative analysts.


To succeed at Alphataraxia, you should be independent and self-motivated. Alphataraxia operates with little bureaucracy, and therefore we expect our employees to be capable of pushing projects forward autonomously. By design, we are a small and highly selective team. We are recruiting an outstanding person who wants to be given a high level of responsibility and freedom.


Join us at our Westwood, Los Angeles office, where our core hours are Monday–Friday 7am–4pm. In response to COVID-19, however, our entire team has been working from home. We expect to continue working remotely until at least Fall 2020.


Example projects

  • Design a custom autoscaling daemon to intelligently match AWS EC2 computing capacity to a queue of heterogeneous jobs.

  • Explore Python Luigi as a batch job dependency manager. Convince our team that it solves an important problem, then integrate it without breaking our current code.

  • Deploy Django on our LAMP stack in such a way that it transparently fits next to our primarily-PHP codebase.

  • Examine a new dataset posted by a vendor, then design a MySQL database schema to store it. Explain how to use this new dataset to our analysts.

  • Develop a React web app for visualizing energy market data. Then, teach the basics of React through a firmwide presentation.

  • Monitor data pipelines for integrity, and when they fail, diagnose and repair. Socialize how we can prevent similar bugs in the future.

  • Evaluate whether pursuing containerization using Docker is worthwhile, keeping in mind how it would fit into existing systems.

  • Leverage PhantomJS to navigate through a JavaScript-enabled website to scrape, clean, and import data.

  • Demonstrate Python development best practices, and pave the way so the rest of the firm honors them as we build out our Python codebase.


  • Fluency in Python, PHP, or another major programming language

  • Experience designing database schema to persist data for efficient querying

  • Familiarity with Unix/Linux

  • Understanding of the efficiencies of various data structures and algorithms

  • Familiarity with version control systems (e.g. Git, Subversion, etc)

  • Discipline to write clean, well-structured code and actively monitor the quality of the rest of our codebase

  • U.S. citizenship or permanent residency status. We cannot sponsor work visas.



  • Experience with any front-end framework, such as React or Angular

  • Understanding of parallel computing frameworks such as Dask or Spark

  • Understanding of APIs and the HTTP request-response cycle

  • Familiarity with the PyData stack (pandas, numpy, scikit-learn, etc.)

  • Curiosity to hack and build things outside of work