About The Company

TMGM is a global online trading and investment services provider, serving clients across multiple markets and operating from offices on three continents. The company is the Official Regional Online Forex and Trading Partner of Chelsea FC in Asia Pacific. TMGM is committed to regulatory compliance, technological innovation, and customer service, and works to provide clients with competitive trading conditions through industry-leading platforms and ongoing research and development.

By investing in technology and improving the usability and performance of its services, TMGM supports clients in navigating an evolving financial landscape. Its global operations bring together teams with varied expertise and perspectives, creating opportunities to contribute to products and services used across regions.

About The Role

TMGM is seeking a Data Analyst to turn high-velocity data into accurate, practical insights that support trading strategies and business decisions. In this role, you will work at the intersection of data engineering and finance, helping ensure that profit and loss (P&L;) reporting and trading analytics are timely, reliable, and useful to stakeholders.

You will work with real-time data pipelines and technologies such as Kafka, RabbitMQ, and ClickHouse. The position combines hands-on technical work with financial analysis, requiring you to investigate trading performance, maintain data quality, and communicate findings to both technical and non-technical teams. Your work will help trading desks understand performance and make informed decisions using consistent,



well-managed data.

Qualifications

- A university degree in Finance, Economics, Computer Science, or a related quantitative discipline.
- Experience in finance or fintech, with an understanding of financial instruments, trading activity, or trading data.
- Advanced SQL skills and experience querying large datasets, ideally with ClickHouse or another OLAP or columnar database.
- Strong Python skills, including the ability to manipulate data and develop scripts that automate analytical work.
- Experience using data visualisation tools to present analytical findings and operational or real-time data clearly.
- Strong communication skills and the ability to explain technical results to audiences with different levels of data expertise.
- A detail-oriented approach to accuracy, data quality, and compliance with governance policies.
- Familiarity with tools such as Airflow, dbt, Git, Superset, Metabase, Power BI, or Grafana is an advantage.
- Exposure to data platforms such as Druid, BigQuery, or Snowflake is also beneficial.

Responsibilities

- Build, maintain, and improve automated P&L; reporting frameworks that draw on real-time data streams.




- Perform in-depth trading analyses to identify execution patterns, slippage, market impact, and other performance trends.
- Write, maintain, and optimise complex SQL queries in ClickHouse to work efficiently with large-scale financial datasets.
- Use Python to develop robust data-processing scripts and automate recurring analytical tasks.
- Partner with stakeholders to define, document, and implement relevant key performance indicators for trading desks.
- Monitor data quality and integrity throughout the pipeline, investigating discrepancies and supporting accurate, compliant reporting.
- Design data models and schemas that support high-frequency reporting needs and business objectives.
- Present findings in a clear, actionable format and collaborate with engineering, finance, and trading teams to address analytical needs.

Advantages

- Competitive salary and performance-based bonus opportunities.
- Career development opportunities within a global company.
- A collaborative and inclusive working workplace with exposure to cross-region operations.
- Health and wellness benefits.
- Flexible working arrangements.

Equal Chance

TMGM is committed to fostering a professional, inclusive, and respectful workplace. We welcome applicants from a range of backgrounds and value diverse experience and perspectives. Employment decisions are based on role-related qualifications, skills, and business needs.

All applicants will be considered fairly and without discrimination, in accordance with applicable laws and regulations.

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