# Eduard Silantyev

> Technical Lead at Adaptive Financial Consulting

Location: New York, New York, United States
Profile: https://flows.cv/eduardsilantyev

## Work Experience
### Technical Lead @ Adaptive
Jan 2024 – Present | New York, United States

### Engineer @ Adaptive
Jan 2022 – Present | London, England, United Kingdom

### Software Developer @ LMAX Group
Jan 2020 – Jan 2022 | London, England, United Kingdom
- Worked on core exchange services: Matching Engine, Risk (P&L and Margin), FIX Trading Gateway, Market Data
- Took on production support and helped resolve various ad-hoc production system issues
- Responded to DevOps requests that required reconfiguration of the infrastructure
- Contributed to development and support of Disruptor – the company’s open source library

### Software Engineer - FX Trading @ Revolut
Jan 2020 – Jan 2020 | London, United Kingdom
- Developed core backend components of trading risk platform: P&L calculations, FX exposures, FX Forward pricing
- Built build / test / deployment pipelines. Utilised Google Cloud, TeamCity and Bitbucket

### Software Engineer - Risk Technology @ Revolut
Jan 2019 – Jan 2020 | London, United Kingdom
- Developed core back-end components of risk management back office platform: RCSA, Key Risk Indicators, Reporting, Notifications, Accesses                                                             
- Applied generic design for calculation, monitoring and reporting of Operational, Market and Liquidity risks                                                                                  
- Took part in development of build / test / deployment pipeline                                                                                                                                                     
- Developed and tested React based front-end of the back office application
- Implemented core FX risk metrics: FX exposure, VaR

### Software Engineer @ Floating Point Group
Jan 2019 – Jan 2019
- Built a streamlined data ingestion engine for limit order book and trade data of over 3,000 digital assets across 12 venues. Achieved 99% service up-time.
- Developed an execution engine / order router that integrates with multiple trading venues and achieves minimal transaction costs by deploying various execution algorithms.
- Worked on a CI / CD pipeline that streamlined development workflow.

### Digital Data Engineer @ BNP Paribas
Jan 2018 – Jan 2019 | London, United Kingdom
- Created an aggregator of primary issues data from various internal and external sources
- Developed custom entry and visualisation tools for primary issuance teams using SQL and VBA
- Automated dissemination of research and security sales process via Symphony chat system

### E-Trading Developer @ Thalesians Ltd.
Jan 2017 – Jan 2019 | London, United Kingdom
- Deployed a real-time Machine Learning system that performs live time-series prediction
- Prototyping and developing electronic trading architecture in Java, Python and Kdb+
- Lectured Python for Data Science, Python for Financial Timeseries Analysis

### Quantitative Analyst Intern @ Olympia Capital
Jan 2016 – Jan 2016
- Performed statistical data analysis and back-testing for quantitative trading strategies
- Assigned to test past Mergers and Acquisitions data to find opportunities for statistical arbitrage
- Extensively used Bloomberg Terminal for data extraction and Excel for data analysis

### Trading Internship @ VTB Capital
Jan 2016 – Jan 2016
- Assisted commodity, equity and fixed income trading desks in handling numerical tasks and observed sales side processes


## Education
### BSc Finance in Investment and Risk
LIBF

### Artificial Intelligence Nanodegree in Artificial Intelligence
Udacity

### Deep Learning Nanodegree Foundation in Deep Learning, AI
Udacity

### International Baccalaureate Diploma
TASIS England


## Contact & Social
- LinkedIn: https://linkedin.com/in/eduardsilantyev

---
Source: https://flows.cv/eduardsilantyev
JSON Resume: https://flows.cv/eduardsilantyev/resume.json
Last updated: 2026-04-13