KCS Group

Software Testing Engineer   




  Quantum Phinance is looking for Software Testing Engineer



Job Description



Qualifications: BE/ B.Tech, ME/ M.Tech, BCA, B.Sc (IT), MCA, M.Sc (IT/ CS)
Work Experience: 0 to 1 Year

Duties and Responsibilities :

- Reviewing software requirements and preparing test scenarios including Quantitative tests for financial applications
- Executing tests on software usability
- Analyzing test results on database impacts, errors or bugs, and usability
- Detect and track defects and inconsistencies
- Document results of tests for the software development team

- Recommend improvements in software to enhance user experience
- Motivate the development process for efficiency and performance
- Works together with the software developer to enhance and improve programs
- Maintain updated knowledge of industry trends and advancements in QA domain

Specific Skills required :

- Good technical skills, IT background
- Good quantitative skills and proficiency in Microsoft Excel
- Excellent analytical and problem-solving skills
- Exceptional attention to detail
- Self-motivated, quick learner, with good verbal and written communication skills

Good to have knowledge :

- Existing knowledge/ expertise in manual testing would be good
- Good understanding of test and defect tracking tools (JIRA, Azure)
- Basic concepts in Finance
 

Work Experience

0 to 1 Years

Level

Entry Level 


Job Function


IT-Software, Software Testing, Quality Control/Assurance


Vacancies


Not Specified 


Industry


IT-Software 


Job Location


Mumbai 


Educational Qualification


B.Sc, BCA/BCS, B.E./B.Tech, M.Tech, MCA/PGDCA


Salary


Not Specified


Key Skills


Software Testing, Automation Testing, Manual Testing, Azure. Quality Assurance


Company Info


Quantum Phinance is a financial analytics company with products in valuation, risk and quantitative analysis for Banks, Corporate Treasuries, NBFC s & other financial institutions. The firm also has robust services vertical addressing high-end challenges in risk modelling, model validation & quantitative analysis.
 


Address


Not Mentioned


Contact Number


Not Mentioned



 



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