Numeraxial Llc
Numeraxial LLC | Quantitative Investment Analytics Partner with Quant Experts Who Deliver Alpha About Us Numeraxial LLC is a premier quantitative investment analytics firm partnering exclusively with asset managers, hedge funds, and family offices seeking a decisive competitive edge in today's complex markets. Our mission: Get the quant expert set you need to outperform the market and your peers. We serve institutional investors managing portfolios from $10M to multi-billion dollar AUM with advanced analytics, real-time insights, and systematic alpha generation strategies. Why Partner with Numeraxial? Elite Quantitative Edge Gain institutional-grade capabilities without building an in-house quant team- Multi-factor models with AI based Model validation -**Real-time portfolio optimization** across all asset classes - AI/ML alpha signals generation for systematic outperformance - Predictive Regime detection model: that adapt to market conditions - Advanced risk analytics:(VaR, ES, tail risk, Max Drawdown, Duration, Credit VaR etc) Institutional Technology - Real-time analytics with microsecond latency - Backtesting engine with realistic transaction costs - API integration with Bloomberg, FactSet, prime brokers - Cloud infrastructure with 99.99% uptime - Custom dashboards integration for your investment process Proven Performance Our partners consistently achieve- 25-40% improvement in Sharpe ratios - 200-500 basis points annual outperformance vs. benchmarks -10-20% reduction in portfolio volatility -**60% faster** research and decision-making Partnership Solutions For Asset Managers Enhance your investment process with quantitative tools that demonstrate superior risk-adjusted returns to LPs- Systematic benchmark outperformance frameworks - Portfolio construction with robust optimization - Comprehensive performance attribution - Risk Metrics dashboard
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Top roles at Numeraxial Llc
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- 1data scientist
- 1financial analyst
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- 1quantitative research intern
- 1quantitative systems engineer
- 1valuation analyst
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