Structured Products Data Analyst - Remote

Overview

The Structured Products Data Analyst is a strategic professional within the Product Solutions team, focusing on the development, tracking, and optimization of structured products, such as structured notes, derivatives, options, and warrants.

In Short

• Manage and automate key operational processes related to structured products.
• Participate in the design and implementation of financial product origination mechanisms.
• Collaborate with technology teams for integration of structured products into platforms like Aladdin.
• Support due diligence processes on pricing, quantitative models, and complex structures.
• Develop internal tools for analysis, structure comparison, and automated reporting.
• Work with bankers to create personalized investment solutions based on complex structures.
• Ensure compliance with internal controls and regulatory criteria.
• Contribute to the financial performance and operational robustness of the business.
• Utilize strong analytical skills and attention to detail in product evaluation.
• Communicate effectively with commercial and operational teams.

Requirements

• More than 2 years of experience in structured financial products or quantitative analysis.
• Solid knowledge of structured products and valuation concepts.
• Experience in process automation using Python, SQL, or similar tools.
• Familiarity with wealth management platforms like Aladdin.
• Excellent analytical, organizational, and documentation skills.
• Advanced English communication skills, especially in financial terminology.
• High autonomy and results-oriented approach in a dynamic environment.
• Bachelor's degree in Finance, Engineering, Economics, or related fields; Master's degree preferred.

Benefits

• Competitive salary and performance-based incentives.
• Opportunities for professional development and advancement.
• Comprehensive health and wellness benefits.
• Supportive work environment promoting diversity and inclusion.
• Access to cutting-edge tools and technologies.
• Flexible working arrangements.
• Collaborative and innovative team culture.