Senior Quantitative Trader

Who we are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you will do at Axi!

As a Senior Quantitative Trader, you’ll play a pivotal role in researching, developing, and supporting systematic trading strategies, leveraging advanced statistical and machine learning techniques. You’ll work at the intersection of quant research, data science, and trading strategy development, helping to drive alpha generation and improve trading performance.

You’ll:

• Research and identify alpha opportunities using statistical analysis, machine learning, and large-scale data sets.

• Develop and enhance systematic trading and hedging strategies based on client behaviour, sentiment, segmentation, or market dynamics.

• Apply quantitative techniques to optimise risk, performance, and execution efficiency.

• Work closely with trading, product, and technology teams to translate research into deployable strategies.

• Analyse historical and real-time data to evaluate strategy robustness and performance.

• Continuously refine models and methodologies based on market conditions and data insights.

• Contribute to the evolution of the firm’s quantitative and data-driven trading capabilities.

What We’re Looking For

• Strong experience applying statistical analysis and machine learning to large, complex datasets.

• Proven ability to research and identify alpha signals, whether from market data, client behaviour, sentiment, segmentation, or similar sources.

• Experience working with financial or trading-related data, such as markets, client flows, risk, credit, fraud, or customer analytics.

• The capability to support or develop systematic trading and hedging strategies, including performance optimisation and risk considerations

• Senior-level judgement, with the ability to operate autonomously, prioritise effectively, and make sound technical decisions.

• Strong proficiency in Python for quantitative research and data science workflows.

• Experience with kdb+ / KDB is a strong advantage.

Axi's bag of delights

• Competitive and attractive compensation.

• Extensive learning opportunities, such as professional training and certifications and soft skills development.

• 18 annual leave days per year.

• 12 sick days leave per year.

• Public holidays as declared by local government.

• Maternity leave as per law.

• Health Insurance.

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.