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QA Engineer with 4+ years in Banking & Capital Markets specializing in Manual and API Testing.
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Assessing your cultural and operational fit
QA Engineer with 4 years of experience in Banking & Capital Markets domain, specializing in Trade Lifecycle, Trade Finance, and Corporate Actions. Strong expertise in Manual Testing, API Testing (Postman), and TCS BaNCS. Proven track record in SIT, UAT, Regression Testing, and SWIFT message validation (MT103, MT202, MT54x, MT56x). Skilled in defect management, test case design, and delivering high-quality releases in Agile environments.
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Bachelor of Engineering · Computer Science & Engineering
August 1, 2017 – June 30, 2021
Intellect Design Arena Ltd
Consultant - QA Engineer
October 1, 2024 – Present
Chennai, Tamil Nadu, India
Maveric Systems Limited
Senior Test Engineer
January 1, 2024 – September 1, 2024
Chennai, Tamil Nadu, India
Atos Syntel
QA Engineer
October 1, 2021 – December 1, 2023
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience across multiple companies (Intellect Design Arena, Maveric Systems, Atos Syntel) and diverse banking modules (CASA, Lending, Treasury, Digital Banking, Trade Finance, Capital Markets) suggests adaptability and a broad understanding of financial systems. Their involvement in mentoring junior testers and collaborating with various stakeholders indicates a team-oriented mindset. The consistent focus on delivering high-quality, defect-free releases aligns with a culture that values precision and reliability. The candidate's continuous engagement in complex banking workflows and SWIFT messaging validation points to a strong problem-solving aptitude and a commitment to mastering intricate domains.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through participation in Agile ceremonies and coordination with cross-functional teams. Mentorship experience indicates leadership potential and a proactive approach to team development. The focus on ensuring stable releases with minimal defects and zero critical defects in production highlights a commitment to quality and operational excellence. The use of AI-based test generation shows an inclination towards adopting new technologies to improve efficiency.