About The Company

TMGM is a global online trading and investment services provider, serving clients across multiple regions. The company is Chelsea FC’s Official Regional Online Forex and Trading Partner in Asia Pacific and operates offices across three continents. TMGM is committed to regulatory compliance, technological innovation, and customer service, delivering trading solutions designed to support clients in a dynamic financial environment.

Through ongoing research and development, TMGM continues to improve its platforms, liquidity, and usability. The company combines technology with financial expertise to provide clients with access to trading tools and services. Its international operations offer employees the opportunity to work with colleagues and stakeholders across regions and contribute to a business serving a diverse, global client base.

About The Role

TMGM is seeking a Data Analyst to turn high-velocity data into clear, dependable financial insights that inform trading strategies and business decisions. In this role, you will work at the intersection of data engineering and finance, supporting reporting and analytics across trading operations.

You will work with real-time data pipelines and technologies such as Kafka, RabbitMQ, and ClickHouse to help ensure trading analytics and profit and loss (P&L;) reporting are accurate, timely, and useful. The role suits an analytical professional who combines strong SQL and Python skills with an understanding of financial markets and a careful approach to data quality.

Responsibilities

- Develop and maintain automated P&L; reporting frameworks that use data from real-time streams.
- Analyze trading activity to identify execution patterns, slippage, market impact, and other performance trends.
- Write, maintain, and optimize complex SQL queries in ClickHouse for large-scale financial datasets.
- Use Python to build reliable data processing scripts and automate recurring analytical tasks.




- Work with trading and business stakeholders to define and implement relevant performance indicators for trading desks.
- Monitor data quality and integrity across pipelines, investigating discrepancies and supporting accurate reporting.
- Design data models and schemas suited to high-frequency reporting and business requirements.
- Present findings and recommendations in clear, practical terms to technical and non-technical audiences.
- Follow applicable data governance practices and contribute to dependable, consistent analytical processes.

Qualifications

- A university degree in Finance, Economics, Computer Science, or another quantitative discipline.
- Experience in finance or fintech, with an understanding of financial instruments, trading activity, or trading data.
- Advanced SQL skills and practical experience with ClickHouse or another OLAP database.
- Strong Python programming skills, particularly for data manipulation, analysis, and automation.
- Experience using data visualization tools to communicate analytical results and represent real-time information.
- Ability to explain technical findings clearly and adapt communication to different audiences.
- A detail-oriented approach, with a strong commitment to data accuracy and governance.
- Familiarity with Airflow or similar orchestration tools, dbt, Git-based workflows, or BI platforms such as Superset, Metabase, Power BI, or Grafana is an advantage.

Benefits TMGM offers a competitive salary and performance-based bonuses, along with opportunities for career growth and professional development within a global company. Employees can work in a collaborative setting with exposure to cross-region operations, access health and wellness benefits, and benefit from flexible working arrangements. Specific arrangements may vary by role and location.

Equal Opportunity

TMGM is committed to providing a professional and inclusive workplace. We welcome applicants from diverse backgrounds and evaluate candidates based on their qualifications, skills, experience, and suitability for the role. Employment decisions are made in accordance with applicable laws and without discrimination on the basis of legally protected characteristics.

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