Position: Data Analyst
Company: Virtuace
Experience required: 5y
English level: upper

Необхідні навички

 - 5+ years professional experience in an environment that prioritizes data quality;
 - Familiarity with standard financial data providers, platforms and tools: Bloomberg, Refinitiv, Markit, SIX, CQG, ICE/IDC, Morningstar, exchange data and more;
 - A bachelor’s degree with a strong academic record, which includes university coursework in programming and computing systems;
 - Exposure to hands-on Python and SQL coding in the context of data pipelining in a professional environment. Prior experience with Jira, Bash, GIT desired;
 - While financial industry experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data.

Обов’язки

- Analyze and curate large amounts of data for different tradable instruments, including futures, options, bonds, and more;
- Create systematic, automated components for processes and tools that allow the team to scale and rapidly onboard new datasets;
- Collaborate with quantitative researchers, traders, data engineers, and other data analysts to understand business needs and then formulate and iterate on data pipelines that produce high-quality datasets;
- Support the day to day operations of the Research Data Management team by applying problem-solving, pattern detection, and root cause analysis to a wide range of data issues in a fast-paced environment;
- Help drive continuous improvements to the team’s data quality procedures and a consistent approach to how data quality is measured, monitored, and reported.

Пропонуємо

- To work with a company which is financially stable and reliable, company has ambitious plans for development. Our main customers are American insurance companies, it allows us to feel safe and protected on the financial side;
- Health insurance;
- English classes (online) and speaking-club with native speakers;
- Possibility of remote work;
- Competitive salary;
- Collaborative friendly team environment.