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

Required skills:
— 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.

Responsibilities:
— 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.

We offer:
— To work with a company which is financially stable and reliable, company has ambitious plans for development;
— Health insurance;
— English classes (online) and speaking-club with native speakers;
— Possibility of remote work;
— Competitive salary;
— Collaborative friendly team environment.