---
title: 'Python Software Engineer at Jump Trading'
canonical: 'https://feeny.ai/job/python-software-engineer-jump-trading-sydney-7mwa5zn1k6vf'
type: 'job'
last_seen: '2026-09-10'
---

# Python Software Engineer at Jump Trading

- **Company:** Jump Trading
- **Location:** Sydney, Australia
- **Posted:** 2025-09-07
- **Last confirmed live:** 2026-09-10
- **Apply:** https://www.jumptrading.com/hr/job?gh_jid=7230707

## Job description

## About the role

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. This is a growing, high-visibility initiative, not greenfield, but early enough that this engineer will help shape it, with access across the entire platform as the team expands into proprietary datasets. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack, interfacing with all aspects of the firm (from Trading, Research, and Technology to Risk, Middle Office and Accounting) giving individuals within the group a full 360-degree view of Jump.

The Derived Data team, part of the Vendor Data Group, builds the analytical datasets that trading and research rely on: bars and residuals computed from market data, extending to curves, volatility surfaces, greeks, and other derived signals. As Jump's trading style has evolved, the team has brought in new alternative datasets. We are looking for a skilled Software Engineer that will help normalize that data and make it available to researchers and traders at massive scale.

What You’ll Do:

The ideal candidate will be able to dig into the technical details and work with end-users to understand their needs and implement streamlined solutions to deliver results. We are looking for individuals who are instinctively curious self-starters, demonstrating the ability to independently drive tasks and projects to completion in a team environment.

- Work with a variety of datasets, provide a scalable, centralized, validated representation of data for consumers to utilize.
- Review and understand various datasets leveraging vendor documentation, liaising with external vendors (many China-based) as needed to better understand data.
- Design, build, and maintain systems that calculate bars and residuals from market data, including streaming data captured in collocated environments.
- Extend the derived-data platform to additional analytics such as curves, volatility surfaces, and greeks.
- Work closely with trading and research teams to understand how they use derived analytics and deliver calculations that fit their workflows.
- Contribute to APAC production support, helping ensure continuity across the US–APAC time-zone handover.
- Document technical solutions and calculations clearly, translating complex methodology for less financially savvy stakeholders terms non-technical stakeholders can act on.
- Other duties as assigned or needed.

Skills You'll Need:

- 5+ years of software engineering experience, with strong proficiency in Python. Rust or C++ is a strong plus.
- 5+ years working on large sets of data and direct experience calculating bars and residuals from market data (ideally from streaming, collocated market data).
- Good understanding of trading and research, and how trading teams work with analytical research.
- Strong unit-testing / test-driven coding style.
- Experience working with various data storage formats, filesystems, and event queues preferred.
- Hands-on experience working within a Linux environment.
- Preferred working proficiency in Mandarin to collaborate with the Shanghai-based team and liaise with China-based vendors.
- Willingness to diversify and master other technical skills on the job.
- Excellent written and verbal communication, analytical, and problem-solving skills.
- Strong communication skills, with the ability to document technical solutions and calculations in non-technical terms.
- Reliable and predictable availability.

## About Jump Trading

## Company Overview
- **One-liner**: Jump Trading is a global proprietary trading firm that builds advanced algorithms, high-performance infrastructure, and research-driven strategies to trade across all major asset classes and time horizons.
- **Entity Type**: Private (Self-funded, no venture capital)
- **Headquarters**: Chicago, Illinois, United States
- **Founded**: 1999
- **Founders**: Not publicly disclosed (commonly cited as Paul Gurinas and Bill DiSomma, but not confirmed on company materials)

## Core Business
- **Primary Industry**: Financial Services – Proprietary Trading, Algorithmic Trading, High-Frequency Trading (HFT)
- **Target Customers**: Institutional (the firm trades exclusively for its own account; serves as a liquidity provider and market maker on global exchanges)
- **Mission Statement**: "We don’t chase what’s working. We build what works next." – Emphasis on first-principles research, continuous innovation, and building systems that stand up to real-world markets.

## Products & Services
Jump Trading does not sell commercial products; its offerings are internal capabilities that drive its trading business:
- **[Proprietary Trading Strategies]**: Research-driven strategies across equities, futures, options, cryptocurrencies, and fixed income, spanning multiple time horizons from microseconds to months.
- **[Technology Infrastructure]**: Custom hardware (ASICs, FPGAs), low-latency networking, distributed systems, and co-located compute environments in over 100 data centers near global exchanges.
- **[Research & AI/ML Platforms]**: Large-scale simulation, storage, and analytics platforms that power both trading and applied machine learning research, including live inference and fast iteration.
- **[Jump Crypto]**: A dedicated division for cryptocurrency trading, market making, and blockchain infrastructure (acquired Certus One in 2021).

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Annual revenue of approximately **$546 million** (LinkedIn estimate as of 2025)
- **Notable Investors/Partners**: Self-funded; no external investors. Key partners include major exchanges (CME, NYSE, etc.) and technology vendors.
- **Growth Signals**:
  - Headcount: 1,448 employees (LinkedIn, +29% YoY)
  - Active job postings: 44 (+528% YoY growth in postings)
  - 16 offices across 8 countries (US, UK, Singapore, China, India, Netherlands, Australia, Hong Kong, France)
  - Acquisition of Certus One (2021) and Darebiz (2021) to expand crypto and data capabilities

## Competitive Advantages
- **Proprietary Hardware & Software**: In-house ASIC, FPGA, and custom networking that deliver microsecond-level latency advantages.
- **Flat, High-Agency Culture**: Engineers and researchers have ownership from day one; decisions are fast and friction is low.
- **Talent Density**: Recruits heavily from top tech firms (Google, Citadel, Jane Street) and universities; alumni often move to other elite trading firms.
- **Cross-Disciplinary Integration**: Traders, engineers, and researchers work side-by-side, enabling rapid iteration from research to production.
- **Long Track Record**: 25+ years of consistent profitability and adaptation across market cycles.

## Strategic Focus
- **AI/ML Expansion**: Scaling machine learning research for both trading and infrastructure, with dedicated pre-training research teams.
- **Crypto & Digital Assets**: Growing Jump Crypto as a major market maker and infrastructure provider in blockchain ecosystems.
- **Global Infrastructure**: Building out additional data centers, co-location sites, and microwave/network links to reduce latency.
- **Talent Acquisition**: Aggressively hiring engineers, researchers, and operations staff to maintain competitive edge.

## Why Work Here
- **Culture**: "A (genuinely) flat structure that keeps decisions fast and friction low." Engineers see the impact of their work in real time.
- **Work Environment**: Hybrid/office-based with major hubs in Chicago, New York, Austin, London, Singapore, and others. On-site presence expected for most technical roles.
- **Engineering Focus**: Build custom hardware, low-latency software (C++, Python, Go, Rust), and large-scale distributed systems. "You can design something on Monday and see it in production by Friday."
- **Mentorship**: Senior leaders still write code, test models, and trade. Interns and new grads receive direct mentorship.
- **Compensation**: Not disclosed, but proprietary trading firms are known for industry-leading total compensation (base + bonus).
- **Perks**: Not detailed, but the firm invests heavily in tools, infrastructure, and talent development.

## Sources
1. [jumptrading.com – Company Overview](https://www.jumptrading.com/)
2. [jumptrading.com – Careers](https://www.jumptrading.com/careers)
3. [jumptrading.com – Technology](https://www.jumptrading.com/technology)
4. [jumptrading.com – Culture & HR](https://www.jumptrading.com/hr/overview)
5. [LinkedIn – Jump Trading Company Page](https://www.linkedin.com/company/jump-trading)

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