Senior Quantitative Engineer

. Build and maintain pipelines, analytical tooling and models with production-quality code, tests and documentation .

Posted 9/25/2026full-timeLimassol • CyprusSeniorWebsite

Tools & technologies

PythonScikit-LearnSQL

Key responsibilities & impact

Build and maintain pipelines, analytical tooling and models with production-quality code, tests and documentation
Turn research prototypes into reviewed, tested and scheduled code
Adopt engineering standards including Git strategies, code reviews, testing and reproducibility
Build checks such as reconciliations, invariants and known-answer tests to make quantitative outputs trustworthy and repeatable
Identify data-quality issues and upstream changes early
Document data-quality issues clearly and coordinate remediation with relevant teams
Work within the Quantitative Research team and collaborate with data and technology colleagues

What you’ll need

Typically 6 or more years in software or data engineering, including quantitative work
Production-quality Python, including packaging, testing, typing and performance
Git workflows, code review and CI/CD
Hands-on experience designing and building data-intensive systems with modular components, clear interfaces, and sound trade-offs between performance, maintainability and cost
Advanced SQL on large analytical databases, ideally ClickHouse or other columnar stores
Experience building scheduled, tested data pipelines, including orchestration
Applied statistics sufficient to implement quantitative methods correctly and recognise when a result is noise
Ability to explain technical work clearly to non-technical colleagues
A degree in computer science, engineering, mathematics or a related field
Understanding of how a retail CFD and FX broker operates, including spreads, hedging and liquidity providers
Experience with MT4, MT5 or cTrader data, and liquidity bridges or aggregators such as oneZero
Experience with tick-level market data
Experience running machine learning models in production using tools such as scikit-learn or gradient boosting libraries

Comp & perks

Competitive pay
Ongoing learning and clear paths to advancement
22 days of annual leave
12 paid sick days
Full medical insurance coverage after 6 months
Group Savings and Life Insurance Plan after 6 months
Fully stocked kitchen with fresh fruit, snacks, and beverages
Daily lunch buffet
Paid overtime
Dedicated budgets for upskilling and curiosity
Referral bonus
Team events and team-building activities
MadBenefits employee perk platform with discounts on dining, retail, entertainment, and everyday essentials
Access to gym facilities, organized sports, and relaxing spa treatments
Unwind Fridays with a relaxed drink with colleagues