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Data Analyst - Trading Desk

TMGM
Sydney, AUS
Full-time
Mid
Onsite
Discovered 3 weeks ago
airflowbigquerydbtgitgrafanapower-bi

Full Job Posting

About the role

We are looking for a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen our trading strategies.

Working with real-time data pipelines built on Kafka, RabbitMQ, and ClickHouse, you will help ensure that P&L reporting and trading analytics are accurate, timely, and actionable. Positioned at the intersection of engineering and finance, this role requires strong technical and analytical capabilities, along with a solid understanding of financial markets.

Responsibility

Develop and maintain automated PnL reporting frameworks that pull from real-time data streams.

Conduct deep-dive trading analytics to identify execution patterns, slippage, and market impact.

Write and optimise complex SQL queries in ClickHouse to handle large-scale financial datasets efficiently.

Collaborate with stakeholders to define and implement key performance indicators (KPIs) for various trading desks.

Monitor data quality and integrity across the pipeline to ensure financial reporting remains compliant and accurate.

Use Python to build robust data processing scripts that automate repetitive analytical tasks.

Design data models and schemas that specifically support high-frequency reporting and business objectives.

Must have

  • University degree in Finance, Economics, Computer Science, or a related quantitative field.
  • Prior experience working within the finance or fintech industry, with an understanding of financial instruments or trading data.
  • Advanced SQL knowledge and experience with OLAP databases like ClickHouse.
  • Strong programming skills in Python for data manipulation and automation tasks.
  • Experience with data visualisation tools to represent real-time data effectively.
  • Ability to convey technical findings clearly to both technical and non-technical stakeholders.
  • Detail-oriented mindset with a focus on data accuracy and compliance with governance policies.
  • Must have
  • Exposure to ClickHouse (or another columnar/OLAP store — Druid, BigQuery, Snowflake)
  • Airflow or similar orchestration; dbt; Git-based workflows
  • BI tooling (Superset, Metabase, Power BI, Grafana)

Nice to have

  • Exposure to ClickHouse (or another columnar/OLAP store — Druid, BigQuery, Snowflake)
  • Airflow or similar orchestration; dbt; Git-based workflows
  • BI tooling (Superset, Metabase, Power BI, Grafana)

Benefits

  • Competitive salary and performance-based bonuses.
  • Opportunities for career growth and development within a global company.
  • Collaborative and inclusive work environment with exposure to cross-region operations.
  • Health and wellness benefits.
  • Flexible working arrangements.

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