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A fast-growing prop firm in Kuala Lumpur is seeking a Quantitative Developer to design and optimize trading systems. You'll architect low-latency infrastructure and develop complex risk engines while implementing statistical models to enhance trading performance. Ideal candidates possess a solid understanding of algorithmic trading, Python proficiency, and analytical skills. Join us to revolutionize algorithmic finance and make a tangible impact on the trading landscape.
NEXT Ventures is where ambition takes shape and momentum becomes movement. As a global platform revolutionising access to performance-based capital, we empower the world’s most driven individuals to rise. Through our flagship brand, FundedNext, we empower dreamers to become doers, and potential to turn into performance. With 500+ driven minds across five countries, we power a global rhythm—220,000+ daily users from 170+ nations, each chasing greatness in their own way.
Your Role in Our Mission
You are not just writing code; you are building a money-making machine. We are seeking a Quantitative Developer with a deep "Trader's Mindset" to design, build, and optimize a proprietary bridge and risk engine.
Your primary mission is to unlock the value in our data. You will build the infrastructure that connects our demo environment to real-world Liquidity Providers (LPs), identifying our best traders and mathematically replicating their success in the live market via high-speed execution.
The "Bridge" & Risk Engine
Architect and build a low-latency "Trading Bridge" that sits between our FundedNext platform (MetaTrader/cTrader) and external Liquidity Providers.
Develop a sophisticated Risk Engine that analyzes thousands of demo traders in real-time to identify "toxic flow" (to hedge) and "alpha flow" (to copy/monetize).
Implement statistical models that filter noise from trader data to execute profitable replication strategies on real markets.
FIX Protocol & Connectivity
Act as the subject matter expert on the FIX Protocol (Financial Information eXchange). You will write the custom engines to manage sessions, parse messages, and handle order routing with various LPs and Prime Brokers.
Build aggregators that connect to multiple venues simultaneously to find the best pricing and execution speed.
Quantitative Modeling & Math
Apply advanced statistics (Time Series Analysis, Stochastic Calculus) to create pricing models and execution algorithms (TWAP, VWAP, Sniper) that minimize slippage.
Build a simulation environment that can replay millions of historical retail trades to validate your copy-trading algorithms before live deployment.
High-Frequency & Low-Latency Engineering
Optimize Python (and potentially C++/Rust modules) for microsecond-level latency. In FX and CFD arbitrage, milliseconds matter.
Ensure the system can handle massive bursts of quote updates and order events without clogging or crashing (AsyncIO, ZeroMQ, shared memory architectures).
Your X-Factor
We are looking for someone who understands the "Quantlane Model"—the ability to treat a prop firm not just as an education platform, but as a source of liquidity and alpha.
You possess the hybrid skill set of a Senior Software Engineer and a Quantitative Trader.
You understand Market Microstructure: You know what happens to an order after it leaves the terminal, how it hits the matching engine, and how to exploit inefficiencies in that process.
You are P&L Driven: You are not just building software; you are building a system designed to generate revenue.
30 minute HR interview with the Talent Acquisition team member
45 minute Session (with talent acquisition team & department front line manager)
60-minute Final Interview Session (with head of department & talent acquisition lead)
This is a rare opportunity to build a hedge-fund-grade system from the ground up, backed by the data and capital of one of the world’s fastest-growing prop firms. You will not be a cog in a machine; you will be the engine builder.
The future of fintech is algorithmic. Come build it with us.