Salary: P140,000 to P170,000 (Monthly Package)
Schedule: Monday – Friday  (09:00 AM - 06:00 PM EST)
What are we looking for?
Skills Required:
- Minimum of 5+ years of experience as a QA Analyst.
- Strong background in the financial sector, specifically within the banking space.
- Technical Skills:
- Proven experience with QA methodologies, tools, and processes.
- Hands-on experience with financial datasets, particularly FactSet.
- Proficiency in writing clear, concise, and comprehensive test plans and test cases for financial systems.
- Experience with automated testing tools and scripting languages.
- Familiarity with data validation and reconciliation techniques.
- Analytical Skills:
- Strong analytical and problem-solving skills.
- Ability to think critically and creatively to identify and solve issues related to financial data.
- Experience with SQL and data validation techniques.
- Interpersonal Skills:
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage multiple tasks simultaneously.
- Strong collaboration skills to work effectively with cross-functional teams.
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What will you do?
- Test Planning and Execution:
- Develop, document, and execute detailed test plans, test cases, and test scripts for financial systems and datasets.
- Perform thorough testing on financial datasets and banking applications to ensure accuracy and compliance.
- Identify, record, document, and track bugs and discrepancies in financial data.
- Financial Data Expertise:
- Utilize expertise in financial datasets, particularly FactSet, to validate data integrity and accuracy.
- Collaborate with financial analysts and data scientists to understand and verify complex financial models and data transformations.
- Ensure financial data quality by performing data validation and reconciliation tasks.
- Quality Assurance:
- Ensure the quality and reliability of new and existing features through systematic testing.
- Validate data pipelines and transformations to maintain the integrity of financial datasets.
- Review and analyze system specifications to identify test requirements specific to financial systems.
- Continuous Improvement:
- Advocate for QA best practices within the engineering team.
- Stay up-to-date with industry trends and advancements in financial QA methodologies and tools.
- Identify areas for process improvement and implement solutions to enhance the QA process for financial systems.
- Reporting and Communication:
- Prepare detailed reports on testing outcomes, defects, and quality metrics.
- Communicate effectively with stakeholders regarding testing progress, issues and results.
- Serve as a liaison between financial analysts, data engineers, and the engineering team to ensure seamless integration and quality of financial data
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Join the awesome team and enjoy these benefits & perks:
- Medical, Dental Coverage and Life insurance from day 1 of employment
- Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
- Competitive salary package and annual appraisal
- Financial Assistance Program
- Mandatory Government Benefits and 13th Month Pay
- Complimentary Sleeping Quarters, Coffee at no cost
- Complimentary Office Fitness and Wellness Facilities at no cost
- Regular Company Events, Work Life Balance, and Career growth opportunities
- Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA
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JOIN CONNECTOS NOW!
ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.
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Our Client is an advanced technology platform that provides growing companies, investors, and financial institutions access to a broad spectrum of curated data to enhance capital raising, M&A transactions, and other business opportunities.
#ConnectOS #ConnectOSCareers #TeamConnectOS
Equal Employment Statement
Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.