About the job
About TMGM
As a leader in the CFD trading landscape, TMGM offers an all-encompassing trading platform that spans stocks, commodities, indices, and currencies. We are dedicated to cultivating a culture rooted in integrity, innovation, and excellence, ensuring our clients enjoy unmatched trading experiences while remaining compliant with regulatory standards.
About the Role
Join our esteemed Systematic Market Making team to enhance daily operations through automation, data analytics, and the development of reporting infrastructures. This position merges trading, data engineering, and quantitative analytics, allowing you to contribute significantly to the efficiency of our desk through reliable reporting, clean data pipelines, and actionable insights derived from extensive trading and market data.
Collaborate closely with Quant Traders, Risk Managers, and Developers, gaining valuable exposure across pricing, hedging, liquidity management, and performance analysis. You will have a clear path toward leading the development of quantitative trading strategies.
Key Responsibilities
Trading Operations & Automation
- Automate daily workflows across trading and risk management functions.
- Develop and maintain scripts to enhance efficiency and minimize manual tasks.
- Support monitoring tools for pricing, hedging, exposure, and execution quality.
- Improve the robustness and reliability of trading systems.
Reporting Infrastructure & Data Systems
- Design, develop, and maintain reporting frameworks for trading performance, risk exposure, and liquidity metrics.
- Create scalable and maintainable data pipelines.
- Ensure data integrity and accuracy across reporting systems.
- Contribute to ad-hoc analysis requests from traders and senior management.
Data Analytics & Research Support
- Transform raw trading and market data into structured datasets.
- Extract insights to enhance pricing optimization and hedging efficiency.
- Analyze client flow, spread performance, slippage, and inventory behavior.
- Assist in research projects by preparing and validating datasets.
Technology & Tools
- Utilize Python extensively for analytics, automation, and data processing.
- Leverage SQL for querying extensive trading databases.
- Work with time-series data across diverse asset classes (FX, Metals, Indices, Commodities, Single Stocks).
- Continuously refine internal research and reporting tools.

