Quantitative Trader | Global Markets BU | Financial Markets SBU | July 2026

The Company

The Mauritius Commercial Bank Ltd (MCB) is the leading financial institution in Mauritius and a key player in the African banking landscape. As part of the largest banking group in Mauritius and with over 187 years of history, MCB has built a strong reputation for innovation, customer-centric solutions, and financial stability.

Under its Vision 2030 strategic plan, MCB is pursuing a deliberate strategy of focusing on specialized, high-expertise niche segments across the African continent while also leveraging on its hubs in Nairobi, Johannesburg, Lagos, Paris and Dubai.

Embark on a journey with the MCB Financial Markets SBU, where our expertise and commitment enables us to deliver innovative solutions and unparalleled market insights. By combining tailored strategies with deep local knowledge, we empower clients to navigate and thrive in today’s dynamic financial landscape.

The Role

As a Quantitative Trader, you will research, develop, and deploy high-frequency and systematic FX trading strategies, leveraging market microstructure insights and advanced quantitative techniques to enhance pricing, execution, and risk management.

In this role you will,

• Develop high-frequency FX trading strategies using order-book dynamics and short-horizon signals

• Build and maintain a robust research stack (tick data pipelines, signal libraries, and backtesting frameworks)

• Model market microstructure (queue position, fill probability, latency, adverse selection, execution costs)

• Validate strategies using rigorous statistical methods (out-of-sample testing, walk-forward analysis)

• Deploy trading models into production and take ownership of performance and P&L

• Monitor execution quality, latency, slippage, and signal decay; optimise or retire strategies

• Optimise execution through smart order routing and venue selection

• Ensure compliance with risk frameworks and regulatory requirements

• Apply strong risk controls including position sizing, drawdown management, and kill switches

We are looking for candidates who have a minimum of

EITHER:

• 3+ years’ experience in high-frequency or systematic trading research

• Strong Python programming skills (C++ or low-latency languages advantageous)

• Deep market microstructure knowledge

• Strong statistical and backtesting expertise

• Experience with tick data and execution simulations

• Proven risk management experience

OR:

• Advanced academic or research background in quantitative finance or related field

• Strong programming capability (e.g., C++, Java, Python)

• Experience in trading/execution modelling

• Expertise in statistics, machine learning, or time-series modelling

• Experience with large datasets and simulation frameworks

• Demonstrated application of risk controls in quantitative environments

AND: 

• Experience with FX markets (spot, forwards, NDFs)

• Knowledge of low-latency or co-location environments

• Familiarity with execution APIs and high-throughput systems

• Live trading track record in systematic or HFT strategies

A combination of both qualification & experience will be considered. 

Should this opportunity match your career aspirations, skills and competencies, click on ‘Apply’ to complete your online application. 

Please ensure all required information is accurately entered in relevant sections. Any incomplete application will not be considered. 

You may attach a complete CV when applying. Candidates going through the selection process during the recruitment exercise will be required to provide two professional references. 

As part of the recruitment process, shortlisted candidates(s) will be required to provide a valid Certificate of Character of less than 3 months. 

The deadline for submission of application is 24 July 2026. 

The Management reserves the right not to appoint anyone following this advert.