Jobs

Build the future together with Octaplus

Octaplus Financial Analytics is a company that was created out of a unique association of knowledge of its founders, bringing together successful experiences in the areas of financial modelling, applied mathematics and software engineering. We are looking for students and professionals interested in working with us who have a passion for building ingenious solutions to complex problems and are willing to develop professionally in a high-performance environment and competitive industry.

Software Engineering Intern

  • Undergraduate student majoring in Computing, Engineering and/or Mathematics;
  • Some degree of familiarity with software development (preferably in Python, C++ or C languages) in a Linux/Ubuntu environment;
  • Solid foundations of algorithms and data structures;
  • Understanding of relational and NoSQL databases;
  • Notions of modern distributed systems and ambition to understand in-depth topics such as: fault tolerant systems, concurrency, asynchronous programming, streaming and real-time processing;
  • Some experience with tools like Git and Docker is desirable;
  • Comfortable with reading and writing in English.

Software Engineer

  • Education or equivalent experience in areas related to Computing, Engineering and/or Mathematics;
  • Experience with software development in an Unix environment, preferably in Python, Go, Lua, C++ or C languages;
  • Solid foundations of algorithms and data structures, relational and NoSQL databases and modern distributed systems;
  • In-depth understanding of topics such as: fault tolerant systems, concurrency, asynchronous programming, streaming and real-time processing;
  • Familiarity with tools like Git and Docker;
  • Good English communication skills

Financial Engineering Intern

  • Undergraduate student majoring in Statistics, Computing, Engineering and/or Mathematics and Physics;
  • Good command of Numerical Methods, such as Monte Carlo Simulations, Optimization Algorithms, Numerical Solutions and Approximations, etc.
  • Good command of statistical packages, such as SPSS, SAS or R;
  • Fluency in programming languages ​​(preferably, C++, C or Python);
  • Solid foundations of algorithms and data structure;
  • Understanding of relational databases;
  • Some experience with tools like Git is desirable;
  • Comfortable with reading and writing in English.