Key Responsibilities
- 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
Qualifications
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
Key Responsibilities Partner with traders and quantitative researchers to design and implement tools for signal research trade analysis attribution and reportingDevelop and maintain the risk and P&L frameworks ensuring timely and accurate reportingBuild and optimize data pipelines for market data in...
Key Responsibilities
- 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
Qualifications
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
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