Senior Python engineer with experience working with service-oriented architecture in a distributed/cloud computing architecture
The successful candidate will be a key member of the Stress Testing Analytics Implementation team within Wholesale Credit Risk area. The team focuses on the design, implementation, delivery and support of stress loss forecasting solutions for the firms Wholesale Credit losses and Loan loss reserves models supporting various regulatory and internal processes such as CCAR, CECL and IFRS9.
In particular, for this role, the successful candidate will participate in the software development, testing and maintenance of high-performance analytics frameworks supporting both month-end batch processes as well as on-demand/interactive use cases
The successful candidate will work on the design and implementation of backend analytics services supporting credit stress loss and/or loan loss reserves forecasting
Maintain technical documentations supporting software architecture / design
Regularly review the performance of analytics components to identify opportunities to streamline and/or optimize implementation
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.