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Data Analyst - Trading Desk

Sydney, New South Wales🌐 Remote💼 Full-time🗓 2026-09-17 → 2026-09-26

Core

Transform high-velocity data into clear financial insights to inform and strengthen trading strategies.

Role type

Data Analyst (Trading Desk)

Builds

Automated P&L reporting frameworks, trading analytics dashboards, and data models for high-frequency reporting.

Domain

Financial services / Fintech / Trading

Deliverable

production ML models | dashboards & analysis

Required skills

SQL (OLAP/ClickHouse), Python, financial market understanding, data visualization, data modeling, stakeholder communication

Preferred skills

Airflow, dbt, Git workflows, BI tooling (Superset, Metabase, Power BI, Grafana), other OLAP stores (Druid, BigQuery, Snowflake)

Technologies

Kafka, RabbitMQ, ClickHouse, Python, SQL

Responsibilities

Develop and maintain automated PnL reporting frameworks 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; Collaborate with stakeholders to define and implement KPIs for trading desks; Monitor data quality and integrity across the pipeline; Use Python to build robust data processing scripts; Design data models and schemas supporting high-frequency reporting.

Seniority

Mid-level, hands-on IC

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