---
title: 'Campus Python Software Engineer (Intern) at Jump Trading'
canonical: 'https://feeny.ai/job/campus-python-software-engineer-intern-jump-trading-shanghai-z3gdyxxdzdkb'
type: 'job'
last_seen: '2026-09-10'
---

# Campus Python Software Engineer (Intern) at Jump Trading

- **Company:** Jump Trading
- **Location:** Shanghai, China
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-10
- **Apply:** https://www.jumptrading.com/hr/job?gh_jid=8027923

## Job description

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 incentivizing 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.

Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software and hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

------------------------------- *Candidates should be interested in working in one of our APAC offices for their full-time job after graduation. -------------------------------

About the Role:

Our APAC Python team sits at the intersection of trading and technology — we build data pipelines, post-trade infrastructure, analytics platforms, and middle-office systems that the business relies on every day. You'll work on problems that matter, ship code that runs in production, and collaborate directly with trading desks, operations, and research teams across the firm.

Responsibilities:

Python is our primary language and it touches everything we do. The scope is wide:

- Data pipelines — Develop and maintain ETL pipelines that source, normalize, and deliver vendor data, tick/bar data, and trading data firm-wide. Ensure data integrity across millions of records daily using Python, Kafka, MySQL, and ClickHouse
- Business-specific infrastructure — Build the trading platforms that support the firm's expansion into new businesses and markets. Deliver solutions that enable strategic initiatives and make trading more efficient and intelligent
- Post-trade analytics — Partner with business teams to perform statistical analysis on trading performance. Build anomaly detection systems, model exchange behavior, and quantify the impact of infrastructure changes on trading outcomes
- Post-trade systems — Build and operate the infrastructure that processes every trade after execution: clearing, reconciliation, fee computation, position management, and PnL. Parse broker files from clearing houses worldwide, enrich trades with reference data, and compute fees across dozens of global markets and asset classes. We are actively migrating core components to Rust for performance and reliability
- Production ownership — Debug real incidents, trace data through the full pipeline, and fix root causes. You build it, you run it, you own it

Profile:

- You write clean, production-quality code and take pride in the craft — not just making it work, but making it right
- You're rigorous with data — you dig into large datasets to resolve complex issues, and you don't trust easy conclusions
- You are self-driven and proactive, with a natural instinct to take ownership and push through ambiguity
- You collaborate well across teams — trading, operations, finance, and engineering all depend on what we build
- You thrive in a fast-paced trading environment where priorities shift and projects need to move quickly
- You are genuinely curious about how things work under the hood — systems, markets, data flows — and you go deeper than the surface
- You use AI tools (Claude, ChatGPT, etc) to move faster — and you have the judgment to know when to trust the output and when to question it

Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Proficient in Python with hands-on experience building and maintaining production systems
- Comfortable working on Linux — command line, debugging, and bare-metal environments
- Strong fundamentals in data structures, algorithms, and system design
- Solid debugging skills and the ability to navigate unfamiliar codebases quickly

Bonus/Good to Have:

- Experience with Kafka, or data pipeline tooling
- Background in statistics or data analysis
- Experience with Rust or C++
- Competitive programming background
- No finance or economics experience required — we'll teach you the domain

## 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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