Company Description

Welcome to Arcanero Analytics where we develop cutting-edge machine learning and artificial intelligence technology to revolutionize predictive analytics, and its application across various sectors including financial markets, geopolitics and intelligence.

Our team of experts is dedicated to providing innovative ML/AI solutions that provide clarity during chaos so that clients can make better investment, geopolitical and intelligence decisions. Arcanero's advanced algorithms analyse vast amounts of market data in real-time, giving our clients a competitive edge.

Role Description

This is an internship role for a Software Engineer at Arcanero.io. The Data Science and Computational Finance Intern will be involved in back-end web development, software development, and programming tasks. This is a hybrid role located in Brisbane City, QLD, with the opportunity for some work from home. Please read the qualifications CAREFULLY before applying.

Qualifications

• Computational Finance Degree and enrolled in post Graduate related program at university.
• Computer Science and Software Development skills with the following:
• ***Proficiency in computer languages including R and Python with native and high level understanding of R,and its relationship to the financial markets as an absolute necessity***
• NOTE: The successful applicant will jump straight into the dev environment and program in R with financial market projects already in development being handed off the person. We do not have the resources to train someone in "R" and computational finance basics, and employees are BLOCKED from using LLMs to help develop code within our highly secure VM environment due to the sensitive nature of our work and IP. DO NOT apply for this position if you don't have R in your toolbelt. You are highly likely to be rejected.
• Experience with Quantstrat and Blotter, and the use of Bloomberg Terminals a very competitive asset.
• Experience with financial securities or trading desk an asset.
• Back-End Web Development skills using Shiny
• Strong problem-solving abilities
• Ability to work in a fast-paced environment
• Excellent communication skills
• MUST BE LOCATED in Brisbane and be able to travel to the office.

International students welcome and work schedules can be flexible based on your university commitments. You may be subject to a security check and recording of your biometrics as a precondition to being hired.

The role can either be paid or part of a work experience program towards university credit.

NOTE! Do not apply using the LinkedIn process.

IF you are interested and are qualified, email your CV and cover letter to both [email protected] and [email protected]