• To drive and implement the automation and optimization of volatility trading, including client trade pricing and hedging;
• Improvement and support of existing algorithms;
• Contribute from idea generation to production implementation, perform research, design prototype, implement analytics and trading algorithms;
• Analyze large sets of market data to test hypotheses and obtain useful information;
• Create, develop, test and maintain trading strategies, improve existing ones, incl. using Machine learning algorithms;
• Back test preparation;
• Approval of a successful idea with the team, transfer to the developer for implementation.

Чем Вы должны обладать

Обязательно

• Experience in Financial, Big Data from 1 years;
• Experience in Data Science — from 1 year;
• Python programming experience required (Data analysis libraries — NumPy, Pandas);
• Higher education — mathematics, statistics, programming, economics;
• Autonomy, orientation and responsibility for the result, system, organization, attentiveness, initiative and openness;
• Have the ability to devise and implement trading algorithms;
• Extensive knowledge on e-trading infrastructure and data specs, being able to deliver end to end solutions to the business.

Желательно

• Knowledge Machine learning in financial;
• Familiarity with any API: Binance API, BitMex API, Interactive Brokers API, Alpha Vantage API;
• SQL / NoSQL Databases;
• Experience in trading;
• Level of English — Intermediate and above.

Что Вы получаете Предлагаем

• A strong team in one office, ready to help: financial analysts, traders, developers;
• Medical insurance after the trial period (100% coverage, premium package);
• Career opportunities in Team lead, Head of department;
• We value the free time of our colleagues, therefore we are very flexible in terms of the schedule. We are not tied to the time of work, but to the result;
• Office with comfortable working conditions, 15 minutes walk from the Polytechnic Institute metro station;
• Corporate events;
• 18 working days of paid leave and 12 days of sick leave per year;
• No dress code policy and low level of bureaucracy;
• An individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops, etc.;
• Free corporate library.