Remote Quantitative Data Analyst

Description:

• Blockhouse is seeking a talented Quantitative Data Analyst to develop insightful data visualizations and analytics for their financial platform.
• The role involves creating advanced analytics and visualizations that help users interpret complex financial data and optimize trading execution.
• Responsibilities include building custom reporting tools for trade execution performance, slippage, liquidity, and other financial metrics.
• The analyst will collaborate with quantitative researchers, data scientists, and engineers to align data analysis with trading algorithms and strategies.
• The position requires leveraging large datasets from financial markets to identify trends and anomalies for improving execution strategies.
• The analyst will design user-friendly dashboards for real-time and historical financial data, enabling backtesting of trading strategies.
• Ensuring data accuracy, consistency, and reliability is crucial, along with implementing best practices for data validation.
• The role includes translating complex datasets into compelling visual narratives for diverse audiences, including traders and executive leadership.

Requirements:

• A Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Finance, or a related discipline is required.
• Expertise in data visualization tools like Tableau or Power BI is necessary, with familiarity in Python visualization libraries being a plus.
• Proven experience in quantitative analysis, including statistical modeling and financial analysis, is essential, particularly in finance or trading.
• Strong programming proficiency in Python or R, along with experience in relevant data libraries such as pandas, NumPy, and SciPy, is required.
• A deep understanding of capital markets, trading strategies, and asset classes, especially fixed income and equities, is necessary.
• Attention to detail is critical to ensure accuracy and clarity in analyses and visualizations.
• Excellent communication and interpersonal skills are required for collaboration with cross-functional teams.
• A natural curiosity for exploring financial data and generating innovative solutions is essential.

Benefits:

• The role offers the opportunity to play a key part in shaping the future of trading through cutting-edge analytics and insights.
• Employees will work in a collaborative environment alongside a diverse team of quantitative researchers and data scientists.
• There are opportunities for continuous learning and professional development at the intersection of quantitative finance and technology.
• Competitive equity compensation is provided, reflecting individual contributions and impact on the business.
• The position supports a flexible work environment with options for remote work and flexible hours, promoting a healthy work-life balance.