The company isn't just another high-frequency trading (HFT) firm. It’s a team of like-minded innovators: creative thinkers, collaborative problem-solvers, and bold risk-takers. The team maintains a constant, 24/7 presence across the world’s leading cryptocurrency exchanges. Their system reacts to market events in real time, delivering 99% uptimereliability. More than one million tradesare executed daily, powered by a global network of 300+ servers deployed in strategically optimized locations around the globe.
But behind the tech are real people—a talented, diverse team you’d be proud to join. Hailing from elite tech and finance firms like Google, Yandex, and Raiffeisen Bank, they’re engineers and analysts who code at the edge, master markets, and thrive under pressure.
Key Responsibilities
Analyze Trading and Market Data to Uncover Insights:
Analyze large datasets to identify patterns, trends, and anomalies that impact trading performance.
Provide quick and accurate insights for real-time decision-making and strategic initiatives.
Collaborate with the trading team to enhance strategies and operations through custom data analysis.
Build Dashboards with BI Tools:
Develop, maintain, and improve dashboards using Business Intelligence (BI) tools to track trading performance and operational KPIs.
Work closely with traders to refine reporting needs and deliver scalable solutions.
Conduct A/B Testing for Projects:
Implement and run A/B tests to measure the performance of trading strategies, algorithms, and operational processes.
Interpret results to provide actionable recommendations for optimizing system performance.
Technology stack:
store data in ClickHouse and S3, use Python (pandas, numpy, etc.) and BI tools (Metabase) for analysis, and employ the ELK stack and Grafana for working with logs.
Required Skills and Qualifications
Essential Skills:
Proficiency in SQL for querying and analyzing large datasets.
Experience with Python for data manipulation and visualization.
Basic understanding of software development principles.
Strong knowledge of probability and statistics, including experimental design and inference.
Understanding of concepts, workflows, and methods for managing large datasets using analytical and quantitative approaches.
Experience working with time-series data.
Proficient English.
Excellent problem-solving abilities with strong attention to detail.
Proven ability to manage multiple responsibilities efficiently in a dynamic, collaborative environment.
"Nice-to-Have" Skills:
Experience in math competitions.
Hands-on experience with Business Intelligence (BI) tools.
Exposure to financial or trading data.
Familiarity with market mechanics, trading strategies, or concepts in quantitative finance.
high financial rewards based on your expertise (benchmark 5000-7000 usd net)+annual bonus and the opportunity to invest in a corporate fund;
flexible working hours and a healthy work-life balance;
the opportunity to work in a thriving, multicultural, fun environment in one of the world’s fastest-growing industries;
corporate workations: the team regularly goes on corporate trips to unique locations all over the world to work, explore the local culture, and get to know each other better.