Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to push scientific boundaries, 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 research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our trading platform. From optimizing our core trading engine to building custom hardware, we leverage software engineering, data science, and research to deliver the infrastructure that powers our trading and business needs. ------------------------------- *Candidates should be interested in working in Singapore for their full-time job after graduation. ------------------------------- About the Role: Our APAC Python team sits at the intersection of trading and business — we build data pipelines, post-trade infrastructure, analytics platforms, and middle-office systems used daily. You'll work on problems that matter, ship production code, and collaborate directly with trading desks, operations, and teams across the firm. Responsibilities: -Python is our primary language, carrying a wide scope: - Data pipelines — Develop and maintain ETL pipelines that source, normalize, and deliver vendor, tick/bar, and trading data. Ensure data regularity across millions of records daily using Python, Kafka, MySQL, and ClickHouse - Business-specific infrastructure — Build trading platforms that support new businesses and markets. Deliver solutions enabling strategic initiatives and efficiency - Post-trade analytics — Partner with business teams to perform stats analysis on trading performance. Build anomaly detection, model exchange behavior, quantify infrastructure changes - Post-trade systems — Build and operate the framework that processes every trade: clearing, reconciliation, fee computation, position management, PnL. Parse broker files, enrich trades, compute fees across dozens of markets. We’re migrating core to Rust - Production ownership — Debug real incidents, trace data, fix root causes. Build, run, own it Profile: - Write clean, production-quality code; take pride in doing it right - Rigorous with data—dig into large datasets, don't accept easy conclusions - Self-driven, proactive; push through ambiguity - Strong collaborator across teams—trading, operations, finance, engineering - Comfort in fast-paced environments where priorities shift - Genuinely curious about systems, markets, data flows - Use AI tools (Claude, ChatGPT) to speed up—and know when to trust outputs Qualifications: - Bachelor's in Computer Science, Engineering, or similar - Proficient in Python, hands-on production systems - Comfortable with Linux—command line, debugging, bare-metal - Strong essentials: data structures, algorithms, system design - Solid debugging skills; navigate unfamiliar code quickly Bonus/Good to Have: - Kafka or pipeline tooling - Statistics or data analysis background - Rust or C++ experience - Competitive programming background - No finance or trading knowledge required—we'll teach you

Campus Python Software Engineer (Intern)