Python Developer

• We are building a financial platform that will research and run systematic trading strategies.
• We collaborate with the quant team on strategies research, risk modeling, and portfolio optimizations. Our software engineering team embeds the corresponding logic into the platform.
• Similar systems already exist on the market, but quants need to use several of them to research and run trading strategies. Our client’s idea is to build a system that can do it all.
• Client: Several quants with 15+ years of Wall Street experience.
• Team: 25 people divided into three sub-teams.

Project’s Stack

• Frontend: Typescript, Material UI, React, Jest, ESLint, Recharts.
• Backend (Microservices): Kotlin, Groovy, Python, Micronaut, Flask, Gatling, Locust, Spock, FastAPI, Pytest, Pandas, NumPy, SQLAIchemy, Yoyo.
• Databases: AWS DocumentDB, PostgreSQL.
• Infrastructure/pipelines: AWS, Airflow, Terraform, Terraspace, Docker, Gradle, Tekton, VCS, Git.

What a Python Developer will do:

• Create high-quality code according to Algothic’s standards
• Clarify feature requirements
• Communicate with the client and the team
• Complete related tasks, for example, estimate features and analyze the system’s security
• Process data: obtain data from third-party services, databases, or files; perform mathematical calculations; create reports

We expect that a Python Developer:

• Has 2+ years of experience in web application development using Python
• Has at least Upper-Intermediate English
• Knows and has experience using SQL and RDBMS; knows how to write requests for relational databases
• Knows and has experience using NoSQL
• Knows and has experience designing and writing API by best practices
• Has experience working with Docker; can write Docker files without using already existing images
• Has experience writing automated tests
• Has experience working with AWS; can use key services for computation, networking, and storage

Will be a plus:

• You have worked with Flask or any other web framework
• You have worked with Kotlin or another backend programming language
• You have worked with Pandas or NumPy libraries
• You have worked with Airflow
• You have worked with JavaScript or Typescript