Mid-level Quantitative Trader

Data Science and Business Intelligence – Data Science /
Full-time /
Quantitative Trader – Cyprus

The Role:
We are seeking a highly skilled Quantitative Trader to join one of our affiliated Companies. The successful candidate will play a key role in developing and executing trading strategies across various FX instruments. Using advanced quantitative techniques and cutting-edge technology, you will strive to generate alpha and optimize trading execution performance.

The main responsibilities of the position include:

    • Research, develop, and implement quantitative trading strategies to exploit market inefficiencies.
    • Utilize statistical analysis, machine learning, and mathematical modelling to forecast market trends and identify trading opportunities.
    • Design, back test, and optimize trading algorithms to achieve superior risk-adjusted returns.
    • Monitor and analyse market data in real-time to make informed trading decisions.
    • Collaborate with other team members to enhance trading infrastructure and tools.
    • Stay abreast of industry developments and incorporate new methodologies and technologies into trading strategies.

Main requirements:

    • BSc/MSc in Mathematics, Statistics, Finance, or any other relevant field
    • Minimum 3 years of relevant experience
    • Strong quantitative skills and expertise in statistical analysis, probability theory, and time series analysis.
    • Proficiency in programming languages such as Python, R, C++, or Java.
    • Knowledge of financial markets and trading instruments, with previous experience in algorithmic or quantitative trading
    • Excellent problem-solving abilities, attention to detail, and a passion for continuous learning.
    • Strong communication skills and ability to work effectively in a collaborative team environment.
    • Strong analytical and problem-solving skills with high attention to detail
    • Excellent verbal and written communication in English language

Benefit from:

    • Attractive remuneration package plus performance related reward
    • Private health insurance
    • Corporate pension fund
    • Intellectually stimulating work environment
    • Continuous personal development and international training opportunities

All applications will be treated with strict confidentiality!