TMGM is seeking a Data Analyst to turn high-velocity trading data into accurate, actionable financial insights. This role sits at the intersection of data engineering and finance, supporting trading strategies and decision-making through reliable reporting and in-depth analytics.

About The Company

TMGM is a global provider of online trading and investment services, with offices across three continents. The company is the Official Regional Online Forex and Trading Partner of Chelsea FC in Asia Pacific and is recognised for its focus on regulatory compliance, technological innovation, and client service.

TMGM aims to provide clients with strong trading conditions through industry-leading platforms and ongoing investment in research and development. By advancing liquidity, usability, and technology, the company supports clients in navigating an evolving financial landscape.

About The Role

As a Data Analyst, you will transform complex trading and financial data into clear insights that help inform and strengthen trading strategies. You will work with real-time data pipelines and tools, including Kafka, RabbitMQ, and ClickHouse, to support accurate and timely profit and loss (P&L;) reporting and trading analytics.

This position requires a combination of technical proficiency, analytical judgement, and knowledge of financial markets. You will collaborate with engineering teams and business stakeholders to improve data quality, develop relevant performance measures, and make analytical findings accessible to both technical and non-technical audiences.

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 operations, or trading data.
- Advanced SQL skills and experience querying large-scale datasets in ClickHouse or another OLAP database.
- Strong Python programming skills for data manipulation, processing, and automation.




- Experience with data visualisation tools and the ability to present real-time data clearly.
- Strong communication skills and the ability to explain technical findings to varied audiences.
- A detail-oriented approach, with a commitment to data accuracy, integrity, and governance.
- Familiarity with tools such as Apache Airflow, dbt, Git-based workflows, Superset, Metabase, Power BI, or Grafana is an advantage.
- Exposure to columnar or OLAP data platforms such as Druid, BigQuery, or Snowflake is also beneficial.

Responsibilities

- Develop and maintain automated P&L; reporting frameworks that draw from real-time data streams.
- Analyse trading activity to identify execution patterns, slippage, market impact, and other performance trends.
- Write, maintain, and optimise complex ClickHouse SQL queries for large financial datasets.
- Use Python to build dependable data-processing scripts and automate recurring analytical tasks.
- Work with stakeholders to define and implement meaningful key performance indicators for trading desks.
- Monitor data quality and integrity across pipelines, investigating issues that could affect reporting or analysis.
- Design data models and schemas that support high-frequency reporting and business requirements.
- Communicate findings and recommendations in a clear, practical format to support informed decisions.
- Contribute to improvements in reporting processes, analytical methods, and data governance practices.

Benefits

- Market-competitive salary and performance-based bonuses.
- Career development opportunities within a global organisation.
- A collaborative and inclusive work environment.
- Exposure to cross-region operations and international teams.
- Health and wellness benefits.
- Flexible working arrangements.

Equal Opportunity

TMGM is committed to fostering a respectful, inclusive, and professional workplace. We welcome applications from qualified candidates with diverse backgrounds and experiences. Employment decisions are based on role-related skills, qualifications, and business needs, in accordance with applicable laws and company policies.

📌 Data Analyst (Australia)
🏢 TaskVerse
📍 Australia