Posted today · be early
Head of Quant
NEXT Ventures
WorldwideremotePosted 1 day ago
Skill Required
Quantitative-TradingAlgorithmic-TradingTrading-Systems-EngineerQuantitative-ResearcherMarket-MakingQuantitative-Analyst-LeadQuantitative-Risk-DirectorQuantitative-Research-DirectorDirector-Of-Quantitative-ResearchQuantitative-ScientistETLR ProgrammingObservabilityanalyticsbuildingfintechPythondesignC++andFulltime
Key highlights
- Build a hedge-fund-grade system from the ground up (0→1)
- Python required
- Required experience in MM, stat arb, or execution strategies
- Opportunity to build and lead the quant team over time
Role overview
NEXT Ventures is a global platform revolutionising access to performance-based capital, empowering driven individuals through its flagship brand, FundedNext. With over 500 employees across five countries and 220,000+ daily users from 170+ nations, the company is looking for someone to build a hedge-fund-grade system from the ground up, acting as the engine builder rather than a cog in a machine.
Responsibilities
- Design and develop the full trading system: Data pipeline, Backtesting framework, Execution infrastructure, Monitoring & analytics
- Work with tick-level and real-time trading data
- Build and deploy systematic strategies (MM / stat arb / execution)
- Optimize execution, slippage, and liquidity usage
- Continuously iterate strategies based on performance
- Extract value from trading flow and user behavior
- Design hedging and internalization logic
- Identify and exploit inefficiencies across cohorts
- Generate signals from market data, trader behavior and cohorts
- Build and maintain backtesting and evaluation frameworks
- Transition strategies from simulation to live trading
- Monitor performance, risk, and capital efficiency
- Continuously improve strategy robustness
- Own strategy performance and PnL
- Operate independently in a fast-moving environment
- Build and lead the quant team over time
Requirements
- Proven experience building end-to-end trading systems (0→1)
- Strong programming skills (Python required)
- Hands-on experience in: Market making OR Statistical arbitrage OR Execution strategies
- Deep understanding of: Market microstructure, Liquidity, spreads, and slippage
- Experience taking strategies from idea → backtest → live
Nice to have
- C++ programming skills
- Experience in: CFD brokers / market making / central risk book
- Experience in: Multi-asset trading (FX, equities, crypto, futures)
- Familiarity with: Tick-level data
- Familiarity with: Low-latency systems
- Familiarity with: Time-series databases (e.g. KDB)
Additional details
- Application Process: 30 minute HR interview with the Talent Acquisition team member
- Application Process: 45 minute Session (with talent acquisition team & department front line manager)
- Application Process: 60-minute Final Interview Session (with head of department & talent acquisition lead)
- Originally posted on Himalayas