Summary
Overview
Work History
Education
Skills
Timeline
Generic

Oleksandr Bohoslavets

New York

Summary

Production Support Engineer with 6+ years of hands-on experience supporting high-frequency trading (HFT) systems, FIX connectivity, real-time trade data flows, and risk platforms in fintech environments. Proven expertise in troubleshooting and resolving production issues impacting front-office trading flows, ensuring 99.99% system uptime and zero-delay performance. Skilled in Linux/Unix administration, Python and Shell scripting, SQL database management, and supporting algorithmic trading platforms across multi-asset classes (equities, fixed income, derivatives). Excel at owning issues to resolution, liaising with traders and cross-functional teams, and developing monitoring tools to maintain stable production environments. Seeking to deliver high-touch support for quantitative trading infrastructure at QRT.

Overview

6
6
years of professional experience

Work History

Production Support | Integrations Engineer

Tradeweb
08.2023 - Current
  • Provided high-touch production support as primary escalation point for 100+ institutional clients, promptly investigating and resolving complex FIX Protocol, drop copy, and trade data flow issues impacting front-office trading operations.
  • Ensured daily availability of trading components (FIX connectivity, Kafka-based event streams, drop copy workflows, and risk systems) before market open, achieving 99.9% uptime and supporting petabyte-scale market data feeds.
  • Troubleshot and maintained real-time trading infrastructure across Linux/Unix environments, utilizing Python, Shell scripting, SQL, and Kafka to analyze logs, diagnose anomalies, and optimize performance for HFT operations.
  • Supported release management and production stability during 400+ cloud-based system migrations, ensuring zero disruption to algorithmic trading and manual execution workflows.
  • Managed static data configurations and regulatory reporting databases (SQL-based), ensuring compliance with FINRA/SEC standards and timely submission.
  • Developed and implemented monitoring tools and processes (leveraging AI-driven anomaly detection and Python scripting), improving onboarding efficiency by 200% and configuration times by 30%.
  • Liaised daily with internal engineering teams and external vendors to resolve trading infrastructure issues, maintaining robust exchange connectivity and multi-million-dollar HFT contracts.
  • Supported algorithmic trading platforms and dark pool integrations (OCEAN), streamlining FIX/API processes to reduce integration times by 30%.
  • Owned end-to-end issue resolution for front-office traders, delivering 95% client satisfaction through strong problem-solving, communication, and ownership of critical production incidents.
  • Product: Tradeweb Sweep is a cloud-native risk management system delivering real-time analytics, controls, and data aggregation for investment managers and broker-dealers. It supports multi-asset hedging, liquidity optimization, and regulatory compliance in high-frequency trading (HFT) environments.

QA Manager | Production Support Engineer

UBS
03.2020 - 07.2023
  • Delivered production support for client-facing trading platforms, troubleshooting web/API integrations and ensuring defect-free onboarding for algorithmic and basket order flows.
  • Automated monitoring and testing processes using Python scripting, Selenium, and Cucumber, reducing testing and issue detection time by 25% in production environments.
  • Collaborated with front-office traders and sales teams to resolve system issues, providing effective support for real-time trade processing and risk systems.
  • Supported production stability of high-volume dealer-to-dealer trading platforms, prioritizing and resolving issues across global client environments.
  • Developed Python scripts for data validation and anomaly detection on market data feeds, reducing manual troubleshooting efforts by 40%.
  • Automated testing and monitoring workflows using UFT/HP QTP, improving efficiency by 20% for high-frequency fixed income trading operations.
  • Product: Neo, integrated with Programme Trading Execution (PTE) OMS, is an electronic execution platform for algorithmic equity trading, enabling real-time trade processing and risk alerts for basket orders.

Education

Bachelor's in Banking, Master's in Banking - undefined

Odessa State Economic University
UKRAINE
01-2011

Skills

  • Operating Systems: Expert Linux/Unix administration; proficient Windows desktop/server environments
  • Scripting & Programming: Python (advanced troubleshooting and automation), Shell Script/Bash, SQL, VBscript
  • Databases: Expert MS SQL Server; proficient MySQL, Oracle DB2 (relational database management, querying, and maintenance)
  • Trading Systems & Protocols: FIX Protocol (expert configuration, troubleshooting, connectivity), Kafka event streaming, drop copy integrations, market data feeds, execution feeds
  • Platforms & Tools: Kubernetes, AWS, Databricks, KDB, Postman, Jenkins, GitHub, JIRA, Selenium, Cucumber, VeriFIX
  • Domains: Algorithmic trading, high-frequency trading (HFT), market-making, multi-asset classes (equities, fixed income, futures, derivatives), real-time analytics, risk systems, regulatory compliance
  • Methodologies: Agile/Scrum, production release management, monitoring tool development, issue ownership and resolution

Timeline

Production Support | Integrations Engineer

Tradeweb
08.2023 - Current

QA Manager | Production Support Engineer

UBS
03.2020 - 07.2023

Bachelor's in Banking, Master's in Banking - undefined

Odessa State Economic University
Oleksandr Bohoslavets