Senior Python Data Engineer for Derivatives & Market Data

Jump Trading

Sydney

On-site

AUD 180,000 - 240,000

Full time

2 days ago
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Job summary

Jump Trading Group is seeking a Software Engineer to join the Vendor Data Group, shaping a high-scale platform for derived data used by researchers and traders. You will normalize diverse datasets, implement scalable analytics, and collaborate with APAC and US teams to ensure smooth production support.

The role emphasizes Python proficiency, data engineering with large datasets, and strong communication to translate complex models for non-technical stakeholders.

Qualifications

  • 5+ years of software engineering experience with Python.
  • Experience with large data sets and calculating bars and residuals from market data.
  • Strong unit-testing and Linux environment experience.

Responsibilities

  • Work with datasets to provide a scalable, centralized, validated representation of data for consumers to utilize.
  • Review datasets and liaise with vendors to better understand data.
  • Design, build, and maintain systems that calculate bars and residuals from market data, including streaming data.
  • Extend the derived-data platform to curves, volatility surfaces, and greeks.
  • Collaborate with trading and research teams to fit workflows for analytics.
  • Support APAC production operations and ensure continuity across US–APAC handovers.
  • Document technical solutions and calculations in clear, non-technical terms for stakeholders.
  • Perform other duties as assigned.

Skills

Python
Rust
C++
Data processing
Unit testing
Linux
Data streaming
Documentation

Tools

Git

Job description

Jump Trading Group is seeking a Software Engineer to join the Vendor Data Group, shaping a high-scale platform for derived data used by researchers and traders. You will normalize diverse datasets, implement scalable analytics, and collaborate with APAC and US teams to ensure smooth production support.

The role emphasizes Python proficiency, data engineering with large datasets, and strong communication to translate complex models for non-technical stakeholders.

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