— 1 year+ of work experience in Python
— Strong data visualization skills with matplotlib, seaborn, plotly or similar
— Demonstrated project or work experience using SQL
— Bachelor degree, preferably in STEM fields or Finance
— Background in Statistics
— Strong analytical skills
— Experience in outlier detection
— Virtual env
— English: advanced or higher
— Grafana / Tableau
— Work-from-home until 2022
— Fresh and varied food (at own expense)
— Gym 24/7
— Sleeping room with individual capsules and relax room
— Professional car racing simulator
— Table tennis
Our company values:
— Analyze structure, data types, relations, tendencies, seasonality and detect outliers
— Prepare analytical reports and dashboards
— Control data consistency
— Process multiple data sources
— Identify points for improvement in internal data collection system.
Growing RnD project with a need of improved ad-hoc and dashboard-type analytics for increasing number of data sources. We want to build ML models to proactively find data vendors’ inconsistencies. This approach would optimize work with constantly updating fundamental data. Growth opportunities include modeling equities pricing data and detecting outliers.
— We are a fintech team that provides financial research and statistical dashboards to our internal clients.
— We have been working for 10+ years on the financial market already.
— Our team is focused on US Equity Markets.
— Today our team includes 7 Equity Analysts, 3 Software Engineers, 2 Data Engineers and PM.
— We work with world leading financial data vendors.
— Flexible schedule, partially remote work, paid vacation, holidays and sick leaves
— Team building activities with a lot of fun to take a break and relax
— Various sports (football, basketball, running, swimming, cycling, car racing) with professional coaches sponsored by the company