5 дней назад
Senior Quantitative Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quantitative Engineer (Python/Fintech): Building and maintaining production-quality quantitative research pipelines, analytical tooling, and models with an accent on reproducibility, verification, and data quality. Focus on turning research prototypes into tested production systems, designing data-intensive architectures, and implementing reliable checks for quantitative outputs.
Location: Limassol, Cyprus; hybrid model after 2 months with 3 days from the office and 2 days from home
Company
is a global trading and financial technology company with over 15 years of experience and an international team.
What you will do
- Build and maintain production-quality quantitative research pipelines, analytical tooling, and models.
- Convert research prototypes into reviewed, tested, and scheduled production code.
- Apply Git workflows, code reviews, testing, CI/CD, and reproducibility standards.
- Develop reconciliations, invariants, and known-answer tests to verify quantitative outputs.
- Identify data-quality issues and upstream changes, document them, and coordinate remediation.
Requirements
- Typically 6 or more years of experience in software or data engineering, including quantitative work.
- Production-quality Python with packaging, testing, typing, and performance optimization.
- Experience with Git workflows, code review, CI/CD, software architecture, and data-intensive systems.
- Advanced SQL for large analytical databases, ideally ClickHouse or other columnar stores.
- Experience building scheduled and tested data pipelines with orchestration, plus applied statistics.
- A degree in computer science, engineering, mathematics, or a related field, with clear technical communication skills.
Nice to have
- Knowledge of retail CFD and FX brokerage operations, including spreads, hedging, and liquidity providers.
- Experience with MT4, MT5, cTrader, liquidity bridges, aggregators such as oneZero, or tick-level market data.
- Experience running machine learning models in production with scikit-learn or gradient boosting libraries.
Culture & Benefits
- 22 days of annual leave and 12 paid sick days.
- Full medical insurance, Group Savings, and Life Insurance Plan after 6 months.
- Paid overtime, learning and development budgets, and career growth support.
- Daily lunch buffet, stocked kitchen, gym facilities, organized sports, and spa treatments.
- Team events, team-building activities, Friday social gatherings, and an employee discount platform.
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