Quant Researcher

Nomura Holdings, inc.•New York, NY

1d•$175,000 - $250,000•Onsite

About The Position

We are seeking an experienced Quantitative Researcher to join our Cash Equities Central Risk Book team. This role focuses on quantitative modeling, risk management, and portfolio optimization to support our global equities business.

Requirements

Advanced degree (PhD or Master's) in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related quantitative field
3-8 years of experience in quantitative research, risk management, or trading at a financial institution
Strong understanding of equity markets, portfolio theory, and risk models
Expert programming skills in Python and kdb+/q (required)
Strong knowledge of statistics, numerical methods, and optimization techniques
Experience with portfolio optimization algorithms and large-scale data processing
Familiarity with risk systems (Axioma, Barra, Bloomberg PORT) and market data platforms

Responsibilities

Design and implement quantitative models for equity portfolio risk management, including factor models, correlation structures, and tail risk analytics
Develop portfolio optimization frameworks for rebalancing, hedging strategies, and capital allocation
Build real-time risk monitoring systems tracking P&L attribution, Greeks, and exposure metrics
Perform scenario analysis and stress testing under various market conditions
Design and enhance algorithmic execution strategies for optimal portfolio rebalancing and risk reduction
Develop transaction cost analysis (TCA) models and execution quality metrics
Build algorithms for smart order routing, liquidity-seeking, and market impact minimization
Optimize execution schedules balancing urgency, market impact, and timing risk
Support management of the firm's central equity risk book, including inventory optimization
Develop models to price and manage residual risk from client facilitation and market making
Create tools for evaluating trade-offs between risk reduction, capital efficiency, and revenue generation
Collaborate with trading desks to implement risk mitigation strategies