Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Work with business analysts to understand, define and document logical data models.
- Design and develop a database using Oracle RDBMS technologies.
- Define and develop transformation and loading of data from other systems.
- Define, prepare and implements data validation and unit testing to ensure data quality.
- Implement bug fixes when required
- Enforce standards and best practices
- Participate in Agile SDLC
- Degree in Computer Science
- Experience implementing databases using Oracle RDBMS technologies
- Knowledge of MS SQL Analysis Service is a plus
- Experience with JIRA, Git, TeamCity
- Understanding of Agile SDLC, Continuous Integration, Automated Testing
Project is about development and support of the risk management platform used for calculating bank's counterparty risk exposure and allowing this to be hedged. The system consumes trades and market data from systems all over the bank and all asset classes, then runs a series of complex risk calculations across the entire trade portfolio and provides feeds to downstream systems of the results. The system needs every trade in the bank before it can run any calculations, and some of these trades are extremely complex products.
The system's purpose is to provide risk reports to groups across the bank as well as external regulators. It is not strictly an end-user application but has circa 100 users consuming its results and working with its UI components. The system must deal with large volumes of incoming data in different formats, with a combination of real-time and daily input feeds. Calculations are extremely large scale and are distributed across a compute grid of few thousand CPUs.