is where ambition takes shape. As a global platform revolutionizing access to performance-based capital, we empower the world's most driven individuals to rise. Through our flagship brand,
FundedNext
, we have built a massive ecosystem of 220,000+ traders generating millions of data points daily.
We are now entering a new phase of evolution. We are not just a prop firm; we are building a world-class
internal proprietary trading desk
. We are looking for the architect who will build the bridge between our massive retail data flow and institutional market execution.
###
Your Role: The Architect of Alpha
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.
###
How You'll Make an Impact
####
1. The "Bridge" & Risk Engine
Retail-to-Institutional Bridge:
Architect and build a low-latency "Trading Bridge" that sits between our FundedNext platform (MetaTrader/cTrader) and external Liquidity Providers.
Alpha Generation from Flow:
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).
Copy-Trading Logic:
Implement statistical models that filter noise from trader data to execute profitable replication strategies on real markets.
####
2. FIX Protocol & Connectivity
FIX API Mastery:
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.
Liquidity Aggregation:
Build aggregators that connect to multiple venues simultaneously to find the best pricing and execution speed.
####
3. Quantitative Modeling & Math
Mathematical Models:
Apply advanced statistics (Time Series Analysis, Stochastic Calculus) to create pricing models and execution algorithms (TWAP, VWAP, Sniper) that minimize slippage.
Backtesting Framework:
Build a simulation environment that can replay millions of historical retail trades to validate your copy-trading algorithms before live deployment.
####
4. High-Frequency & Low-Latency Engineering
Speed Optimization:
Optimize Python (and potentially C++/Rust modules) for
microsecond-level latency
. In FX and CFD arbitrage, milliseconds matter.
Throughput Management:
Ensure the system can handle massive bursts of quote updates and order events without clogging or crashing (AsyncIO, ZeroMQ, shared memory architectures).
###
What You Bring
####
The "Must-Haves"
FIX Protocol Expert:
You know the FIX tags by heart (4.2/4.4). You have built or maintained a FIX engine that connects to real LPs.
Math & Stats Whiz:
You have a strong academic or practical background in Mathematics, Statistics, or Quantitative Finance. You understand probability, variance, and risk modeling deeply.
Python Performance:
You don't just write Python; you write fastPython. You know how to use numpy, pandas, cython, and asyncio to squeeze every bit of performance out of the interpreter.
Trading Architecture:
Experience building
Order Management Systems (OMS)
or
Execution Management Systems (EMS)
.
####
Domain Knowledge
Brokerage Tech:
Deep understanding of how Forex Brokers, ECNs, and Liquidity Providers operate (A-Book vs. B-Book execution, slippage, spread arbitrage).
Trading Platforms:
Familiarity with the backend protocols of MetaTrader (MT4/MT5) or cTrader is a massive advantage.
####
The "Nice-to-Haves"
C++ Experience:
For the critical hot-paths of the execution engine.
Crypto/DeFi:
Experience connecting to crypto exchanges (WebSocket/REST) alongside traditional FX.
###
Your X-Factor (The "Quantlane" Standard)
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.
####
Your Journey after Applying
30 minute HR interview with the Talent Acquisition team member
45 minute Technical Get-To-Know-You Session (with talent acquisition team & department front line manager)
60-minute Final Interview Session (with head of department & talent acquisition lead)
###
Why Join NEXT?
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.
Beware of fraud agents! do not pay money to get a job
MNCJobsGulf.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.