FX & Treasury Quantitative Analyst

• →Quantitative Analysis and Strategy:
• →Analyse market data and customer transaction behavior using statistical methods to uncover trends and opportunities.
• →Design, test, and implement automated FX trading strategies to enhance performance and reduce risk.
• →Develop and maintain interactive dashboards (e.g., using Tableau or Power BI) to monitor trading metrics and market conditions.
• →Apply AI and machine learning techniques — including large language model (LLM) tools — to accelerate research, surface predictive signals, and automate repetitive analytical workflows.
• →Process Optimisation:
• →Assess treasury and FX trading workflows, systems, and data to identify inefficiencies and propose automated solutions.
• →Optimise processes to improve operational efficiency and mitigate financial risks.
• →Reporting and Insights:
• →Produce regular reports on FX trading and treasury performance, leveraging quantitative analysis to provide actionable insights.
• →Evaluate banking and hedging partners’ performance to minimise risks.
• →FX Trading and Risk Management:
• →Support the execution of FX hedging transactions and management of FX risk exposure.
• →Use quantitative modelling to inform trading decisions and risk strategies.

• At least 3 years’ experience in a financial institution or fintech, ideally within a Treasury or FX trading team.
• Proficiency in statistical analysis and modeling using Python, R, or similar tools.
• Strong coding skills in SQL, VBA and/or Python for data analysis and automation.
• Hands-on experience applying AI/ML tools in financial data analysis; comfortable using LLM-based assistants (e.g., ChatGPT, Claude, Copilot) to accelerate modelling, code generation, and research.
• In-depth understanding of FX markets and products (spot, forwards; options a plus) and treasury instruments.
• Experience with FX trading platforms (e.g., 360T, FXALL, Bloomberg’s FXGO).
• Advanced proficiency in Excel and data visualization tools (e.g., Tableau, Power BI) for building dashboards.
• Exceptional ability to analyse complex datasets, identify patterns, and solve problems quantitatively.
• Thrives in a fast-paced environment with shifting priorities.
• Strong verbal and written communication skills with a high sense of accountability.
• Knowledge of asset and liability management (ALM) or risk management (liquidity, interest rate, or credit).
• Familiarity with other treasury products (e.g., money market, repo).

• Advanced quantitative and statistical analysis.
• Expertise in developing algorithmic trading strategies and data visualisations.
• Ability to translate complex financial data into clear, actionable insights.
• Experience building or fine-tuning AI/ML pipelines for time-series forecasting, anomaly detection, or NLP-driven market intelligence.
• Strong collaboration and communication across technical and non-technical teams.

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