We are looking for a Sr. Software Engineer – Backend. ● Developing RESTful APIs and Services in Django Python. ● You will be working closely with Data Science team working in Python and R. ● Design, develop and own components of the product ● Collaborate with the team and communicate effectively, to solve problems and build, extend, optimize and refactor the back-end architecture ● Strengthen or improve development and release processes Desired Profile: ● 2-4 years work ex in backend development ● B-tech from Tier 1/Tier 2 institutes ● Being a pro in Python is a must ● Good experience in Django framework. ● Proficient in NoSQL document databases especially MongoDB. ● Strong hold in Data Structures and Algorithm ● Good experience of working in Linux(especially Ubuntu). ● An eye for Secure Applications ● Thorough understanding of version control system concepts especially GIT. ● Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
Implementation of strategic partnership with Banks/NBFCs Ability to break down multi-layer complex projects into isolated smaller tasks Eye for detail and ability to build Drive integration on all major aspects for a strategic partnership across Credit, Operations, Asset Management, Accounting, Risk Management, Technology. Responsible for day to day business with Partners and for scale up of partnership Relationship Management with partners Managing reporting on all aspects of partnership and driving coordination
Drive the creation of new models and capabilities that will leapfrog traditional bureau-based modelling done at most major financial institutions leveraging a wide array of data from both traditional and non-traditional sources. ● Acquire deep understanding of MSME lending domain ● Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics ● Engage in regular problem solving sessions with overall leadership team to present findings and refine their own analytics plan. ● Manage data analysis to develop fact-based recommendations for innovation projects. ● Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions. ● Remain current on new developments in data analytics, Big Data, predictive analytics, machine learning and technology