Job Description

We are looking for a Software Developer to join our Quantitative Development Team. You will have an opportunity to be a part of an open and collaborative environment that is at the forefront of quantitative investing.

As a member of the Quantitative Development team, you will play a crucial role in developing and maintaining a platform for the delivery of trading strategies to production. Your engineering expertise and dedication to developing robust, resilient software systems capable of handling high loads will be crucial for delivering effective solutions for our algorithmic trading platform.

Location

London, UK or Yerevan, Armenia (Hybrid mode with 3 days in-office requirement)

Key Responsibilities

Develop an algorithmic trading platform Collaborate with Quantitative Researchers to implement and optimize features of the trading platform Code using primarily Python Write automated tests to cover simulation, training, and execution stages of trading strategies
Analyze and improve efficiency, scalability and stability of various system resources

Basic Requirements

At least 5 years of diverse experience in development of distributed software systems Expertise in Python, Golang or Java programming languages Experience upgrading legacy software systems Experience successfully leading major initiatives Experienced in utilizing data and analysis providing detailed feedback and solutions Strong communication skills

Nice To Have Requirements

Experience in algo trading or similar industry Experience with ML projects Familiarity with Data Analysis

Tech stack we use

Python 3.6 and 3.12 Scientific python libraries: pandas, numpy, pytorch etc Airflow Hadoop PostgreSQL and MongoDB Docker Github, Teamcity, proprietary infrastructure tools S3

What You'll Get

Flexibility to choose the tasks you have the best solution for Professional guidance from the team Challenging tasks to help you grow professionally

What Makes You a Match

You confidently communicate technical ideas You are willing to explore new articles and implement suitable ideas You are not afraid of the unknown and love to learn
You have A LOT of passion and drive

Benefits

Health insurance Flexible sick time policy * Office Lunches