TMGM is seeking a Data Analyst to turn high-velocity trading data into accurate, timely, and actionable insights. This role connects data engineering and finance, supporting robust P&L; reporting and analytics that help inform trading strategies and business decisions.

About The Company

TMGM is a global provider of online trading and investment services, serving clients across multiple regions and operating 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 responsive customer service.

With a focus on providing clients with competitive trading conditions, TMGM invests in advanced platforms, research, and development. Its work across liquidity, usability, and technology supports a changing financial landscape and a diverse international client base.

About The Role

As a Data Analyst, you will work with real-time data pipelines and large financial datasets to strengthen the quality and usefulness of trading analytics. The environment includes technologies such as Kafka, RabbitMQ, and ClickHouse. You will develop reporting frameworks, investigate trading performance, and collaborate with engineering and business stakeholders to make complex information understandable and relevant.

This position is suited to an analytical professional who combines strong SQL and Python skills with an interest in financial markets. Your work will contribute to accurate reporting, informed decision-making, and reliable data practices across trading operations.

Qualifications

- A university degree in Finance, Economics, Computer Science, or another quantitative or relevant discipline.
- Experience in finance or fintech, with an understanding of financial instruments, trading activity, or related datasets.
- Advanced SQL skills, including the ability to write and optimise queries for large datasets and OLAP databases such as ClickHouse.
- Strong Python programming skills for data manipulation, processing,



and automation.
- Experience using data visualisation or business intelligence tools to present analytical findings clearly.
- Strong communication skills and the ability to explain technical results to both technical and non-technical audiences.
- A careful, detail-oriented approach to data accuracy, integrity, and governance requirements.
- Familiarity with tools such as Airflow, dbt, Git, Superset, Metabase, Power BI, or Grafana is an advantage.

Experience with other columnar or OLAP platforms, including Druid, BigQuery, or Snowflake, is also beneficial.

Responsibilities

- Develop and maintain automated P&L; reporting frameworks using data from real-time streams.
- Analyse trading activity to identify execution patterns, slippage, market impact, and other performance trends.
- Write, optimise, and maintain complex ClickHouse SQL queries for large-scale financial datasets.
- Partner with stakeholders to define and implement meaningful performance indicators for trading desks.
- Monitor data quality and integrity across pipelines, investigate discrepancies, and support accurate reporting.
- Build and maintain Python scripts that streamline data processing and reduce repetitive analytical work.
- Design data models and schemas to support high-frequency reporting and business requirements.
- Present findings in clear formats that help teams interpret results and take informed action.

Benefits

- Competitive salary and performance-based bonus opportunities.
- Career development opportunities within an international organisation.
- A collaborative working environment with exposure to cross-region operations.
- Health and wellness benefits.
- Versatile working arrangements, subject to role and business requirements.

Equal Opportunity TMGM is committed to fostering a professional, respectful, and inclusive workplace. We welcome applicants from diverse backgrounds and assess candidates based on their relevant skills, experience, and qualifications. Employment decisions are made in accordance with applicable laws and without discrimination on any legally protected basis.

📌 Data Analyst (Australia)
🏢 TaskVerse
📍 Australia