Lead - QA Support role executing UAT and collaborating with stakeholders for testing at Ameriprise India. Involvement in test plans, defect tracking, and reporting.
About the role
- Manager overseeing solutions quality assurance and governance in a global financial services company. Focused on driving efficiency, reliability, and user experience in reporting and automated solutions.
Responsibilities
- The Manager, Solution Quality Assurance and Governance will report to the Director, Risk Intelligence and Analytics in the Global Risk Intelligence and Technology (GRIT) function.
- Deliver a range of functional capabilities, including performance optimization, testing of reporting and automated solutions, analytics, and troubleshooting of technical solutions.
- Collaborate with development teams to implement enhancements, ensuring seamless user experience.
- Support the development and execution of strategic roadmaps for the function.
- Focus on driving efficiency and reliability in reporting and automated solutions.
- Conduct performance testing, troubleshoot issues, and collaborate with development teams to enhance optimal functionality and user experience.
- Analyze individual application performance in the technology stack and ensure compliance with guidelines set by technical architecture as well as Dev-Sec-Ops.
- Conduct testing for performance, scalability, and stability of solutions, allowing designers and developers to identify gaps.
- Optimize system performance through collaboration with development teams, infrastructure teams, and architects.
- Provide support to Risk and Technology Tooling team on data ingestion, clean-up, mapping, etc.
Requirements
- Around 3-5 years of relevant experience
- Knowledgeable in financial services, insurance, and technology risk management.
- Proficient in Power BI and Power Platform (particularly PowerApps, Power Automate) for creating interactive dashboards, automating workflows, and developing custom applications.
- Skilled in dashboard design with a focus on UI/UX.
- Experience in big data analysis, including the use of Azure and Databricks to process and interpret large datasets.
- Expertise in statistical software (e.g., Python, R) and risk management tools, along with experience in automating data processes and implementing digital solutions.
- Knowledgeable in database schemas, data modeling, and ETL processes.
- Strong reporting skills, with attention to detail and the ability to work under tight deadlines, ensuring precise and accurate financial risk analysis.
- Highly organized individual with strong time management and organizational skills.
- Self-starter with the ability to work independently.
- Excellent collaborative and relationship building skills; showing tact and diplomacy in dealing with others.
- Ability to learn quickly and be comfortable with adjusting to ad-hoc changes in workflow.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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