Remote Real-Time Trading Data Analyst

EBR

Sydney

Remote

AUD 110,000 - 170,000

Full time

47 hours ago
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Benefits offered by this job

Health benefits
Flexible working arrangements
Career growth opportunities

Job summary

EBR is seeking a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen 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.

Qualifications

  • University degree in a quantitative field.
  • Experience in finance/fintech with trading data.
  • Advanced SQL knowledge for OLAP databases like ClickHouse.
  • Strong Python skills for data manipulation and automation.
  • Experience with data visualization tools for real‑time data.
  • Ability to convey findings to technical and non‑technical stakeholders.
  • Detail-oriented with governance compliance.

Responsibilities

  • Develop and maintain automated PnL reporting from real-time streams.
  • Conduct deep-diving trading analytics to identify patterns and impact.
  • Write and optimise complex SQL queries for large datasets.
  • Collaborate with stakeholders to define KPIs for trading desks.
  • Monitor data quality and ensure compliant financial reporting.
  • Use Python to automate analytical tasks.
  • Design data models to support high-frequency reporting.

Skills

SQL
Python
Data Visualization
Stakeholder Communication
Attention to Detail

Education

Bachelor's degree in Finance, Economics or Computer Science

Tools

ClickHouse
OLAP Databases
Airflow
dbt
Git-based workflows
Power BI

Job description

EBR is seeking a Data Analyst to transform high-velocity data into clear financial insights that inform and strengthen 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.

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