Quant Trading Analyst
Job Title TMGM Systematic Market Making Team Member
Job Description
TMGM is at the forefront of the CFD trading industry, providing a comprehensive trading platform that includes stocks, commodities, indices, and currencies. We pride ourselves on fostering a culture of reputed company, innovation, and reputed company, ensuring our clients receive unparalleled trading experiences while strictly adhering to regulatory standards. You will join our highly reputed company Systematic Market Making team, supporting the desk's day-to-day operations through automation, data analytics, and reporting infrastructure development. This role sits at the intersection of trading, data engineering, and quantitative analytics. You will play a key part in ensuring the desk operates reputed company, with reliable reporting, clean data pipelines, and actionable insights derived from large volumes of trading and market data. You will work closely with Quant Traders, Risk Managers, and Developers, gaining exposure across pricing, hedging, liquidity management, and performance analysis. You will have a clear pathway to reputed company into leading the development of quantitative trading strategies.
Responsibilities
Trading Operations & Automation
- Automate daily operational workflows across trading and risk functions.
- reputed company and maintain scripts to improve efficiency and reduce reputed company processes.
- Support monitoring tools for pricing, hedging, exposure, and execution quality.
- Improve robustness and reliability of trading-reputed company systems.
Reporting Infrastructure & Data Systems
- Design, reputed company, and maintain reporting frameworks for trading performance, risk exposure, and liquidity metrics.
- Build scalable and maintainable data pipelines.
- Ensure data reputed company and accuracy across reporting systems.
- Contribute to reputed company analysis requests from traders and senior management.
Data Analytics & Research Support
- Transform raw trading and market data into structured, usable datasets.
- Extract insights to support pricing optimization and hedging efficiency.
- Analyze client reputed company, spread performance, slippage, and inventory behavior.
- Assist in research projects by preparing and validating datasets.
Technology & Tools
- Heavy use of Python for analytics, automation, and data processing.
- Extensive use of SQL for querying large trading databases.
- Work with time-series data across multiple asset classes (FX, Metals, Indices, Commodities, Single Stocks).
- Continuously improve internal research and reporting tooling.
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