We founded Luxoft to provide our customers with high-end IT solutions created by top talents. Whatever we do, we put emphasis on engineering excellence, deep business domain knowledge, and inventiveness. Our quality standards are constant, regardless of the range of enterprise.

Our aim is to lead in cutting-edge technology. A «go beyond» mindset and a «think outside the box» attitude are encoded in our corporate culture. We excel at recruiting and cooperating with pre-eminentprofessionals and enthusiasts for new technologies.

In many departments and branches, we keep developing new services and best industry-specific practices to expand our global presence.

luxoft London, UK
25/03/2019
Full time
Excelian is partnering with leading Australian bank in the replacement of their collateral management system to reduce legacy technology debt and meet the upcoming regulatory deadlines. The bank have selected Calypso Collateral as a solution with the project is phased in 2 parts where phase 1 includes implementation of Initial Margin (IM) rules in Calypso using Collateral Management Module and phase 2 involves decommissioning and implementing Calypso Collateral Management module for VM and being able to deliver following functionalities Bank shall be able to accept/post both cash and securities as VM. (IM will be already on Calypso in phase 1) FO/BO to have real-time view of cash and security collateral positions. Integration with third party custodians (Euroclear/Austracelar etc) Integration with AcadiaSoft Reconciliation of collateral (Cash/Security etc) with custodian. Import exposures for products not traded in Calypso. Accounting of above with SAP. Operational and FO reporting. Responsibilities Functional and technical analysis Functional requirements and technical requirements gathering Documentation of techno/functional requirements Unit Testing Configuration of Calypso module Post-Implementation support Skills MUST Strong knowledge of the Collateral management process. Strong commercial experience of a contemporary Calypso version (ideally v14) 2-3 years of experience with Calypso Collateral module (nice to have) Good understanding of the core Calypso configuration/functionality. Strong knowledge of the Collateral management process. Strong knowledge in Calypso Front or Back office modules Experience in decommissioning Algo will be added advantage. Experience of Calypso implementations and upgrades (Calypso Fast Track as an additional benefit) Experienced in functional and technical requirements gathering / documentation Comfortable with test planning and execution Excellent financial markets knowledge of one or more of the following (Rates, Commodities, Fixed Income, FX, Derivatives) Management experience Consulting experience Multi-vendor project delivery experience NICE TO HAVE Languages English: Advanced/Fluent Relocation package If needed, we can help you with relocation process. Click here for more details:
luxoft London, UK
20/03/2019
Full time
The client has recently started on the build of its new data lake. The main intended components of the data lake are S3 for the storage, Hive as the query engine (other query engines may be added), and Spark as a processing layer. The build has started, and is progressing well – the client is now interested in further big data Python / Scala developers, to help accelerate their roll out. The client would like developers who are self-starting, and can hit the ground running, and are comfortable in an Agile environment. This role is based in London – but the London team also works closely together with the Houston team, who is adding an analytics layer to the data lake. This is an opportunity to make a difference in a new, modern data lake, using AWS components, and with a strong analytics focus Responsibilities Work with project business and system analysts to clarify the requirements and then implement them Participate in code reviews Enforce standards and best practices Participate in Agile SDLC Skills MUST 2-5 years of Python 1+ years of Big Data development Familiarity with cloud environments, and development exposure to one or more cloud infrastructure providers (AWS, Azure, Google etc) 1+ years of exposure to Spark / Hadoop NICE TO HAVE 1 year or more of Scala Exposure to Hive and similar Languages English: Advanced/Fluent Relocation package If needed, we can help you with relocation process. Click here for more details:
luxoft London, UK
20/03/2019
Full time
Our client, one of the top investment banks is looking for Big Data Python developer to take part in developing data processing software for a solvent wind-down modelling project. Responsibilities Responsible for overall technology direction for the assigned module/project Designs, develops and modifies code based on functional and system requirements Participate in testing process through unit and functional testing Perform development tool and environment design and configuration Support bug fixes, change requests and functional enhancement on the code Validates scope, plans and deliverables for assigned projects Interacts with Design team and Test team for requirements and defects Write reusable, testable and efficient code Design and implementation of data processing systems and software Integration of existing databases in processing pipeline Skills MUST Minimum 3+ years' experience in a similar role, preferably within financial services Software development skills are required, specifically in Python Fluent with SQL 2+ years of experience with Big Data technologies: HDFS, Hbase, Impala, Hive, Spark Good interpersonal skills, able communicator and team player, highly autonomous Outstanding problem solving skills Comfortable working in an Agile environment NICE TO HAVE Able to develop, monitor, debug and maintain a CI/CD pipeline that feeds into a production deployment, plus one or more staging and testing environments Experience with Apache AirFlow, Postgresql, Saltstack, Kerberos, Solr is a plus Languages English: Advanced/Fluent Relocation package If needed, we can help you with relocation process. Click here for more details: