Elevate your career with this Intermediate Quantitative Application Developer role at a leading financial client. Leverage your skills in Python and SQL to design data-driven solutions.
You will work on transforming complex trading data into actionable insights within the Global Markets resource optimization initiative. This role requires proficiency in developing applications that enable high-stakes decision-making. Join cross-functional teams to deliver visibility on liquidity and resource metrics through cutting-edge dashboards.
Key Responsibilities:
• Collaborate with teams to develop real-time trading applications
• Design dashboards for liquidity and funding position visibility
• Create analytical tools for collateral management and stress testing
• Integrate planning tools with liquidity metrics for risk support
• Build and maintain data pipelines in cloud environments
Requirements:
• Robust proficiency in Python and SQL
• Experience in cloud platforms like Databricks
• Knowledge of data visualization frameworks, such as Plotly Dash
• Familiarity with machine learning applications in finance
• Excellent problem-solving and communication skills
Drive impactful decisions in the financial sector through your development expertise.
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