Senior QA Engineer (Derivatives, Automation and Business Analysis)

Job Summary

Synechron is seeking a detail-oriented and knowledgeable Senior QA Engineer  specializing in Quality Assurance (QA) with a solid foundation in Business Analysis within Rates Derivatives. In this role, you will contribute to ensuring the quality and accuracy of derivative products, focusing on derivatives, fixed income products, and market data processes. Your expertise will support the organization’s efforts in maintaining high standards in trading and risk management systems, directly impacting operational efficiency and compliance.

Software Requirements

Required Skills:

• Proficiency in MS Excel, including advanced functionalities such as Macros
• Strong working knowledge of MS SQL Server for data querying and management
• Competence in Python for automation, scripting, and data analysis
• Experience with automation testing tools and frameworks
• Basic understanding of version control tools (e.g., Git) is preferred

Preferred Skills:

• Familiarity with business analysis tools and requirements gathering platforms
• Exposure to cloud data environments or cloud-based testing tools

Overall Responsibilities

• Analyze and validate derivative trade data related to Rates Business, ensuring accuracy in P&L and risk calculations
• Develop and execute test cases, scripts, and automation processes to verify system integrity and data consistency
• Collaborate with Quantitative Analysts and Business Teams to understand trading models, market data, and risk methodologies
• Assist in analyzing and optimizing P&L and risk computation processes
• Document testing procedures, results, and process improvements to uphold quality standards
• Support the identification of system flaws or data discrepancies and recommend corrective actions
• Participate in requirement review sessions to ensure testing coverage aligns with business needs

Technical Skills (By Category)

Programming Languages (Essential):

• Python (required for automation and data analysis)
• Excel macros (VBA) for automation and data manipulation

Databases/Data Management (Essential):

• MS SQL Server (for data querying, validation, and management)

Cloud Technologies:

• Not essential for this role but familiarity with cloud data environments (Azure, AWS) is a plus

Frameworks and Libraries:

• Use of Python data libraries (e.g., pandas, NumPy) is preferred for automation tasks

Development Tools and Methodologies:

• Version control (Git) is preferred
• Test automation frameworks and scripting practices to ensure repeatability and accuracy

Security Protocols:

• Not specifically applicable; adherence to data confidentiality and compliance standards is required

Experience Requirements

• Minimum of 6+ years in Quality Assurance, Business Analysis, or related roles within the derivatives or financial markets industry
• Strong understanding of Rates Derivatives, fixed income products, and associated market data
• Hands-on experience in P&L and risk measurement calculations
• Proven history of developing and maintaining automation scripts, particularly in Python and Excel Macros
• Experience working with SQL databases to extract, analyze, and validate data
• Industry experience in trading, risk, or quantitative teams preferred

Day-to-Day Activities

• Collaborate with Quantitative Analysts, Business Teams, and Developers to understand trade data and risk models
• Develop, execute, and maintain automation scripts to streamline testing and validation processes
• Validate trade data accuracy and integrity across systems, focusing on P&L and risk calculations
• Perform detailed testing of business workflows, ensuring compliance with requirements and risk standards
• Analyze market data inputs and trade data discrepancies, reporting findings and potential improvements
• Prepare documentation of test cases, findings, and process documentation for audit and review purposes
• Participate in daily stand-ups, requirement discussions, and defect review meetings
• Provide ongoing feedback for system enhancements and automation opportunities

Qualifications

• Bachelor’s degree in Finance, Economics, Computer Science, Information Technology, or related field; equivalent professional experience acceptable
• Relevant certifications such as CFA, CQF, or ISTQB are preferred
• Demonstrated experience in QA, Business Analysis, or related roles within financial derivatives markets
• Commitment to continuous learning in financial products, quantitative methods, and automation techniques

Professional Competencies

• Strong analytical and critical thinking skills essential for understanding complex financial data and risk metrics
• Effective communicator capable of articulating technical and business issues clearly
• Collaborative team player able to work across business, technical, and QA teams
• Adaptability to evolving technology tools, processes, and regulatory requirements
• Focused on continuous improvement and process efficiency
• Good time management skills to prioritize tasks in a fast-paced environment

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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