📝 DRAFT — Algorithmic Trader / Developer at Quadency

Algorithmic Trader / Developer Quadency 💼 Tech ⏰ Part Time 🌍 New York

posted 1204 days ago ✅ 5 applications

About the Job

About Quadency:

Quadency is a leading digital asset trading and automation terminal. Founded in 2018 and headquartered in New York City, we are on a mission to make crypto investing approachable to everyone. The platform serves everyone from beginner investors looking to try their hand at altcoin trading to hedge funds interested in generating alpha through sophisticated high frequency strategies. Quadency makes it easy to trade and automate - without middlemen and with all the benefits of direct market access to over 3500 trading pairs across all leading global exchanges.

Quadency is led by an experienced team of industry veterans, engineers, and digital strategists. As traders themselves, the original concept was driven simply by their own frustrations with the fragmented landscape. With feedback and support from an amazing community, it quickly flourished into a robust, professional-grade trading platform with an equally ambitious product roadmap for the future.

About you:

Minimum 5 years of relevant trading or investment banking experience as a Quant Developer, Researcher or Analyst
Bachelors, Master’s or PhD honours degree from a top university in Comp Science, Mathematics, Statistics or related field
Proficient in at least one programing language (Ideally Python)
Excellent quant & analytical skills
Deep skills or acumen in learning about systems, programming languages, algorithms, and mathematical concepts
Passion for the cryptocurrency industry, technology, software development, and mathematics

Responsibilities:

Working closely with leadership and quantitative traders to analyse data, build models, and generate signals for alpha generation
Designing, developing, and deploying elegant software solutions across research, alpha & signal generation
Improve existing algorithms and write new ones based on requirements
Collaborating with management to define priorities, deliver solutions, and improve systems and processes


Requirements:

5 or more years of software engineering experience
In-depth knowledge of Python
Experience with platforms such as Quantopian or Quantconnect a plus
Familiarity with portfolio theory and related investment concepts
Knowledge or experience with Docker
CI/CD approach, build tools
Cloud platform (AWS, Azure, GCP etc)