About this role

Partner with traders and quantitative researchers to design and implement tools for signal research, trade analysis, attribution, and reporting
Develop and maintain the risk and P&L frameworks, ensuring timely and accurate reporting
Build and optimize data pipelines for market data ingestion, validation, and contribution to internal systems
Create tactical tools and prototypes that automate manual processes and reduce operational overhead
Develop robust web scraping utilities to reliably source and structure external data for research and analytics
Contribute to the front-office RAD (Rapid Application Development) environment, ensuring scalable and maintainable code in production settings
Collaborate across technology and quant teams to improve efficiency, data quality, and system resilience

Bachelors or Masters degree in Computer Science, Mathematics, Physics, Engineering, or a related technical field
5-8 years of experience in software development, preferably in a front-office or quantitative research environment
Strong proficiency in Python, with solid experience in data analysis, visualization, and workflow automation
Familiarity with big data tools (e.g., Spark, Hadoop) and database technologies (SQL and NoSQL)
Experience with financial data and an understanding of market structures, trading strategies, and risk metrics
Ability to quickly prototype, iterate, and deliver solutions in a dynamic, fast-paced environment
Desirable Skills
Experience with C++, C#, or Java for performance-sensitive applications
Knowledge of Machine Learning, Natural Language Processing (NLP), or time-series modeling
Exposure to web technologies and front-end dashboards (Dash, Plotly, Bokeh) for visualization and reporting
Soft Skills
Strong collaboration skills with traders, quants, and other stakeholders
Detail-oriented, with a focus on code quality, reliability, and maintainability
Self-starter with the ability to balance tactical quick wins and strategic solutions

Quant Developer - crypto prop trading firm