3 дня назад
Data Engineer (Financial Trading)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Financial Trading): Developing and maintaining security referential infrastructure for global trading operations with an accent on financial market data, platform reliability, and automation. Focus on analyzing production issues, building corrective measures, and owning development, testing, release, and support across equities, derivatives, FX, fixed income, and crypto.
Location: Hong Kong; hybrid working opportunities available
Company
is a quantitative trading firm building electronic trading infrastructure, market access, data, compute, research, and business support systems for global trading operations.
What you will do
- Serve as a functional and technical subject matter expert for security referential data needs.
- Strengthen and maintain security referential infrastructure for trading and back-office requirements.
- Analyze production issues and implement corrective measures to prevent recurrence.
- Identify operational inefficiencies and develop automation for continuous platform improvement.
- Work with trading teams and users to resolve issues.
- Own delivery end to end, including development, testing, release, and support.
Requirements
- Bachelor’s degree in computer science or a related field.
- At least 2 years of experience in the financial trading industry.
- Extensive experience with security referential data across equities, derivatives, FX, fixed income, and crypto.
- Proficiency in Python and strong expertise in SQL databases.
- Familiarity with Unix environments and good shell scripting skills.
- Excellent written and verbal English communication skills.
Culture & Benefits
- Hybrid working opportunities.
- Generous paid time off policies.
- Regional savings plans and financial wellness tools.
- Free breakfast, lunch, and snacks daily.
- In-office wellness experiences and reimbursement for selected wellness expenses.
- Volunteer opportunities, social events, and continuous learning workshops.
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