jobapplier

Campus Python Software Engineer (Intern)

jumptrading

Responsibilities

  • 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
  • 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
  • Debug real incidents, trace data through the full pipeline, and fix root causes. You build it, you run it, you own it

Requirements

  • 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 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
  • 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

Preferred

  • 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 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

Business-specific infrastructure

— 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

Profile

  • You write clean, production-quality code and take pride in the craft — not just making it work, but making it right
  • You thrive in a fast-paced trading environment where priorities shift and projects need to move quickly