Data Analyst
TMGM (Trademax Global Limited / Trademax Australia Limited) is an online CFD and forex broker offering trading in Forex, Precious Metals, Cryptocurrencies, Oil, Shares and Indices. It serves retail investors globally, providing platforms like MetaTrader 4/5 and its own TMGM app, with competitive spreads, high leverage, and various account types including cent accounts.
About TMGM
TMGM is a global online trading broker operating under Trademax Australia Limited (regulated by ASIC, AFSL no. 436416, based in Sydney, NSW, Australia) and Trademax Global Limited. The company offers CFD trading across six asset classes—Forex, Precious Metals, Cryptocurrencies, Oil, Shares, and Indices—via industry-standard platforms such as MetaTrader 4 and MetaTrader 5, as well as its own TMGM mobile app. It serves retail traders and investors in over 150 countries (excluding the US, Malaysia and Thailand), offering features like tight spreads from 0.0 pips, leverage up to 1:1000, minimum deposits as low as $15-$100, fast execution, segregated client funds, and multiple funding options with no fees. TMGM also provides educational resources including a trading academy, webinars, market news and analysis, and runs promotions such as trading competitions, referral bonuses, and cashback programs. The company has sponsorship partnerships with Chelsea FC and the Brooklyn Nets, and has received numerous industry awards for broker services, trading platforms, and customer support across the Asia-Pacific region.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will transform high-velocity data into clear financial insights that support trading strategies. You will build and maintain automated PnL reporting frameworks using real-time data streams, analyze trading activity, optimize ClickHouse queries, define KPIs, monitor data quality, automate analysis with Python, and design data models for high-frequency reporting.
Requirements
- University degree in Finance Economics Computer Science or a related quantitative field
- Experience in the finance or fintech industry
- Understanding of financial instruments or trading data
- Advanced SQL knowledge
- Experience with OLAP databases such as ClickHouse
- Strong Python programming skills for data manipulation and automation
- Experience with data visualization tools
- Ability to communicate technical findings to technical and non-technical stakeholders
- Experience with Airflow or similar orchestration tools dbt or Git-based workflows is desirable
- Experience with BI tools such as Superset Metabase Power BI or Grafana is desirable
Responsibilities
- Develop and maintain automated PnL reporting frameworks from real-time data streams
- Conduct trading analytics to identify execution patterns slippage and market impact
- Write and optimize complex SQL queries in ClickHouse
- Define and implement KPIs for trading desks
- Monitor data quality and integrity across data pipelines
- Build Python scripts to automate analytical tasks
- Design data models and schemas for high-frequency reporting
Benefits
- Performance-based bonuses
- Health and wellness benefits
- Flexible working arrangements