Were developing a strategic risk-management platform in one of the Worlds Top 10 Investment Banks. It is a mission-critical project for the Client because it enables large scale Monte Carlo simulations to forecast future cash flows of derivative trades and portfolios along with quantification of associated risks, which are used by Clients traders across the world. It is also used for Stress testing and runs hundreds of potential economic scenarios to confirm Banks readiness for various business conditions to market regulators. Calculated exposures are used for Basel 3 reporting, RWA calculations, trading limits, valuation of Market and Credit risks etc.
This platform performs overnight data loading and runs batch processing during the day to deliver data to downstream systems according to strict SLAs. It is also capable of intraday online calculations. This is a legacy platform to an extent, but we keep developing new components and modify existing ones, there is more development than support activities. Also, there is undergoing Automation program sponsored by Clients top management in order to bring platform to modern and automated delivery process. We strive to reduce manual work and bring best engineering ideas to life.
Were part of Clients Risk Analytics IT department, there is around 80 Luxoft professionals organized into several cross-functional development and supporting teams. Team size is 8-10 people, with a Team Lead, .Net developers, Oracle developers, QA Engineers and System analysts. We generally follow 4 sprints development cycle, each sprint being 2 weeks, but team is free to adapt to their projects needs in terms of methodology and software development process. We value teamwork, as well as recognize individual contribution into success of the project.
[Core development] - .Net 4.6.2, C# 6.0, Visual Studio 2017, xQuery, XSLT, Spring.net, ApacheThrift, ASP.NET MVC (minor), Java 1.6 (minor), PL/SQL, SQL, TibcoEMS
[CI / DevOps] - GitHub, TeamCity, MS Build, SVN, Puppet, Nexus, NUnit, SonarQube, Docker, Unix, Elastic Stack (ELK), Bash
[DB] - Oracle 11g, MongoDB 4.0.1, MS-SQL BI (SSIS, SSAS)
[QA] - Jira X-Ray, PowerShell, Python
[Grid computing] - DataSynapse Grid server, Microsoft Azure
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