Job Description:
Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation.
In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.
Testing:
Conduct independent process testing in support of identified needs
Testing includes activities such as manual, automated, surveillance and transaction level testing
Accountable for monitoring quality test execution, reversal/rebuttals, reporting and resolving issues escalated by LOB/testers, and monitoring the completion of all tests as scheduled
Automation
Develop/build automated tests on the required platform while adhering to development standards
UAT Testing
Conduct end-to-end testing on applications and technology to ensure that business, technical, functional requirements are being met throughout the SDLC
Executes test scripts based upon test strategy/plans in an effort to identify defects prior to production
Responsibilities:
Execute, organize, and prioritize testing in a timely manner ensuring monthly deliverables are achieved while maintaining target accuracy ratios.
Meet all the process requirements for the all the processes supported
Identify and execute automation opportunities as required
Requirements
Education
Ph.D/Masters/Bachelors degree in a quantitative field such as Mathematics, Physics, Finance, Engineering or Statistics from one of the premier institutes like ISIs/IIMs/IITs/NITs etc.
Candidates must have any of financial certifications like CFA, FRM (at least level 1/part 1 should have been cleared).
MBA is not must but preferred.
Foundational skills
Hands-on experience with Statistical Modeling/Machine Learning/Deep Learning techniques is must
Should be well-versed in programming languages of R/Python/SAS and be familiar with Deep Learning Frameworks like Tensorflow/Pytorch.
Sound knowledge of financial instruments and financial risk/operational risk management principles is must
Ability to understand and implement techniques discussed in AI research papers (academic and technical).
Desired Skills
Understanding of the financial industry including risk and regulatory environment desired.
Able to communicate effectively and work well with the existing team.
Work in high pressure environment and with attention to detail
Team player
Good Communication Skills