Software Engineer

New Yesterday

Job Description

About Us:


PlayMeTech is a proprietary trading firm and alternative investment manager focused on quantitative and fundamental sports trading. With professionals based across Europe, Asia, and the US, we combine deep research with proprietary, technology-driven methodologies to trade major public sports exchanges and markets.

Our trading philosophy is rooted in a passion for competitive sports and quantitative research. By applying predictive systems alongside seasoned market expertise, we aim to deliver sustainable short- and long-term, risk-adjusted returns with little to no correlation to traditional financial markets.

PlayMeTech runs systematic strategies across the world’s most actively traded sports. Each strategy identifies market inefficiencies and diversifies capital across multiple wagering categories, including spreads, totals, and related markets.




Key Responsibilities:


  • Build necessary supporting software systems for traders like automation tools, betting control console/website
  • Build sports data pipeline, from data scraping, data processing to data management
  • Investigate and troubleshoot unexpected data issue like data missing, duplicate
  • Maintain and improve the existing software projects
  • Analyse sports betting data and give insight to non-developers like traders
  • Communication with users and stakeholders



Skills / Competencies Required:


  • MSc degree in computer science, software engineering or other related discipline
  • 3+ years’ software engineering work experience
  • Good Python development skills and OOP experiences
  • Experience with data-driven software pipeline project
  • Experience with client-server system project
  • Familiarity with data science tools like Jupyter, Pandas, Matplotlib
  • Familiarity with database tools like MySQL, MongoDB
  • Familiarity with version control tools like Git
  • Ability to work across multiple projects in an agile environment
  • Excellent communication skills
  • Strong desire to learn new knowledge and skills



Desirable skills:


  • Familiarity with data science and machine learning skills
  • Exposure to high-frequency trading and real-time data handling
  • Experience with data system design and management
  • Familiarity with sports betting software project




Benefits:


  • Salary: DOE
  • Performance-based bonus scheme
  • 30 days of holiday (exclusive of bank holidays)
  • Private health, dental, and vision insurance
  • Life and accident insurance

Apply
Location:
City Of London
Job Type:
FullTime
Category:
Technology

We found some similar jobs based on your search