Everix is a fintech company with the mission of revolutionizing financial regulations.Its flagship software helps businesses be always up to date with the Basel regulatory framework for front and risk as well as other frameworks like IFR, SIMM etc.Inherently modular design allows having only the blocks you need while providing the consolidated view on the data. It works well on premises or in the cloud and fits well with the existing ecosystems.

- Facilitate adoption of in-memory cache and calculation grid based on Apache Ignite / GridGain (Pricing Services)- Act as consulting expert on Apache Ignite- Help with DevOps related to distributed computing: automatic deployment of grid nodes, monitoring, tracing- Develop distributed part of derivative pricing services to satisfy regulations (e.g. FRTB)Technologies: Apache Ignite / GridGain, Scala, Java, Kafka, Ansible, Jaeger (OpenTracing)

Lead the flagship risk management product development (XVA, SIMM, FRTB etc.) Manage and guide team of developers, envision future changes, plan and execute development, lead as a Scrum Master, Build Master.Identify resources and equipment requirements, supervise the releases delivery and communicate with the clients, participate in pre-sales, sales and implementation phases.Architect large-scale structure of the project, choose the technologies used, orchestrate the SaaS mode of the product.Key technologies: C#, .NET Core, Mongo DB, Apache Ignite, Ansible, HashiCorp Consul, Vagrant, Nomad, Terraform, KVM, Docker, PowerShell, NodeJS, React, TypeScript.Key tools: JIRA, Confluence, Slack, Team City, Harbor, VmWare

Design, develop, maintain and upgrade flagship software bundle for credit/market risk management from ground zero. Lead team of four developers. Perform architecture design, implementation and testing of server-side (.NET) components and UI (TypeScript, React), collaboration with project managers, functional experts and engineering teams to deliver software. Key technologies: C#, MEF, ServiceStack, Apache Ignite, HashiCorp Consul, Vagrant, Docker, Mongo DB, SQL Server, Microsoft Azure.– Lead a team of developers and functional experts– Designed and developed the solution from ground zero: server, client, ETL– Took most of architectural decision and shaped the project– Set up development infrastructure– Designed and developed Grid solution based on Apache Ignite for distributed pricing, diffusion and risk metrics calculation– Designed and developed Monte-Carlo calculation engine for derivatives pricing– Designed and developed SDKs for: Portfolio, Market Data, Static Data, Dates, Conventions, Curves, Market Data bootstrapping, market data diffusion– Designed and developed FPML processing layer for OTC trades– Spearheaded Rix: OLAP-like risk aggregation engine for computing complex risk metrics based on regulations (SA-CCR, FRTB etc.) with polymorphic trees and on-the-flycompilation– Spearheaded IDAQ: unified human readable financial data identification protocol– Implement distributed microservices infrastructure using Consul– Setup development and test environments using Docker and Vagrant

Develop, maintain and upgrade market leading eDiscovery software bundle. Perform design, implementation and testing of server-side components, collaboration with project managers, engineering teams to deliver software on time. Key technologies: C#, IIS, SQL Server 2008 R2, WCF, Entity Framework, SQLite.• Legal Processing Server: Developed and supported flagship data processing server to facilitate distributed processing, indexing and exporting large amounts of data. Addressed design and performance issues in existing code. – Designed hierarchical workflow status tracking to deliver real-time appearance of processing results in user interface. – Improved shadow data deletion component, allowing concurrent data removal from different sources (DB, disks, search indexes).• Legal Review Server: Implemented concurrent caching system for generating and accessing documents content of different formats through web user interface. – Implemented server part of bulk-tagging and documents sampling functionality – Implemented server part of documents batch-assignment functionality

Define, design and develop distributed computing system for scientific needs in various domains. Coordinate team of 5 researches / developers, integration and testing, communication with domain experts (quantum physicists, chemists), develop reports and documentation. Work on several governmental projects to build a general-purpose cloud computing platform for scientific needs, flood protection system, problem-oriented user interfaces. Key technologies: C#, Java, WCF, WPF, Silverlight, IIS, Ruby, Python, ANTLR, MySQL, MongoDB.• HPC-NASIS I / II: Played key role in design, development and launching flagship product. Defined requirements, designed key interfaces, addressed interoperability issues. Coordinated development team.– Spearheaded development of human-readable DSL (EasyFlow) for defining scientific workflows in distributed environments, allowing specialists to define computation flow in domain terms without deep IT knowledge.– Designed and developed user-oriented interface (Silverlight) to facilitate design, execution and monitoring distributed computing workflows.– Designed and developed a system, allowing standalone computing Grid-agnostic applications to be seamlessly incorporated in distributed environments (cluster, Grid).

Define, design and develop distributed computing system for scientific needs in various domains. Integration and testing, communication with domain experts (quantum physicists, chemists), develop reports and documentation. Work on several governmental projects to build a general-purpose cloud computing platform for scientific needs. Key technologies: C#, Java, WCF, WPF, Silverlight, IIS, Ruby, Python, ANTLR, MySQL, MongoDB.• Saint Petersburg Flood Protection System: Designed and developed simulation algorithm for determining opening and closing time dam gates to protect the city from flooding.– Implenented DSL for decision-making system, allowing non-technical specialists to define flood protection formal procedures.• PEG: Designed overall architecture and developed user-oriented Grid-computing system based on Intel Grid Programming Environment, providing easy-to-use abstract programming interface to develop parallel application for Grid-environments.