Campus Python Software Engineer (Intern)

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 & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

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• *Candidates should be interested in working in Singapore for their full-time job after graduation.
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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