Trade Lifecycle Associate

Are you a strategic thinker with a passion for finance? Join our Asset Management team in Bengaluru to drive impactful solutions. Collaborate with key stakeholders to define, validate, and test technology and operational requirements, enhancing profitability and efficiency across our organization.

Job Summary

As a Trade lifecycle Associate within the Asset Management Corporate Actions India team, you will partner with key stakeholders to define, validate, and test technology and operational requirements. You will play a crucial role in delivering complex, synergistic solutions. Your expertise will drive the execution of management team initiatives, supporting new dashboard design and automation capabilities.

Job Responsibilities

• Collaborate with stakeholders to understand business needs.
• Develop and support Alteryx workflows and Tableau dashboards.
• Query, analyze, and transform complex data sets.
• Ensure development aligns with best practices and standards.
• Provide clear data analysis for senior leadership decision-making.
• Coordinate data extraction and interpretation from databases.
• Conduct detailed business analysis and present results.
• Manage sponsor/customer expectations collaboratively.
• Stay updated on data analytics and data science trends.
• Work with MIS team to enhance engagement and productivity.
• Drive process efficiency and innovation.

Required qualifications, capabilities, and skills

• Minimum 6 years in program management or strategy implementation.
• Hold a Graduate/Post-graduate degree in Computer Science or related field.
• Exhibit in-depth knowledge of data warehouse and analytics tools.
• Excel in Alteryx/Tableau with advanced data model optimization skills.
• Optimize data architecture and manage complex data models.
• Communicate effectively with senior leadership.
• Embrace diversity and inclusion as core values.

Preferred qualifications, capabilities, and skills

• Understand Alteryx for data processing.
• Develop visualizations using Tableau.
• Utilize SQL for data querying.
• Apply knowledge of Investment products.
• Manage end-to-end data analytics implementations.
• Analyze operational risks and implement mitigations.
• Create back-ups for critical positions and assist during contingencies.