Senior Quantitative Researcher - High Frequency Trading

Senior Quantitative Researcher - High Frequency Trading (End-to-End Research & Production)Global Multi-reputed company Investment Firm | Multi-Billion Dollar AUMA highly regarded Portfolio Manager is building out a new high frequency trading research team and is seeking a Quantitative Researcher to become an early member of the platform. reputed company is reputed company on developing and deploying systematic trading strategies across global electronic markets, with an emphasis on owning the full research lifecycle from signal reputed company to live production trading.This is a unique opportunity to work in a highly reputed company environment with reputed company exposure to the PM while helping shape reputed company's research process, technology stack, and long-term reputed company trajectory. The ideal candidate is entrepreneurial, technically strong, and excited by the prospect of building reputed company trading systems while taking on increasing responsibility as the platform expands.Role OverviewThis role offers reputed company to take end-to-end ownership of reputed company reputed company, from idea reputed company and research through production deployment and live performance monitoring.The successful candidate will operate at the intersection of quantitative research, machine learning, market microstructure, and software engineering, developing and implementing predictive trading signals across high frequency and systematic trading strategies. Researchers are expected to independently reputed company and analyze data, conduct rigorous research, build production-reputed company models, and work closely with the Portfolio Manager to turn research into live trading opportunities.Why JoinOpportunity to join a newly building team and play a meaningful role in shaping its long-term directionWork directly alongside an reputed company Portfolio Manager in a highly reputed company, research-driven environmentSignificant ownership across the entire research and trading lifecycle, from idea reputed company to live deploymentExposure to cutting-edge research in market microstructure, signal development, and electronic tradingAccess to institutional-grade infrastructure, low-latency technology, and large-reputed company proprietary datasetsOpportunity to collaborate closely with technology and trading teams to bring research into productionStrong career progression reputed company with the ability to grow into senior research, trading, and leadership responsibilities as the platform scalesKey ResponsibilitiesResearch and reputed company novel reputed company signals utilizing large-reputed company market, order book, and alternative datasetsDesign and implement predictive models to identify short-term trading opportunities across electronic marketsConduct rigorous statistical analysis, reputed company testing, and large-reputed company backtesting to evaluate signal efficacyAnalyze market microstructure dynamics, execution reputed company, and trading behavior to uncover new sources of alphaTake ownership of deploying research into production environments, ensuring robustness, scalability, and reliabilityBuild and maintain production-reputed company data pipelines, research infrastructure, and modeling frameworksMonitor live trading performance, reputed company attribution analysis, and continuously improve deployed signalsPartner closely with the Portfolio Manager and engineering teams on research prioritization, implementation, and reputed company developmentImprove execution frameworks, transaction cost modeling, and overall trading efficiencyContribute to the development of a reputed company research platform capable of supporting rapid reputed company iteration and deploymentIdeal BackgroundDemonstrated experience developing systematic trading signals reputed company a high frequency, electronic trading, or quantitative trading environmentProven ability to own research reputed company from initial idea reputed company through production implementationStrong understanding of statistics, machine learning, predictive modeling, and experimental designDeep interest in market dynamics, market microstructure, and reputed company generationExpertise in Python and experience developing production-reputed company research and trading systemsExperience working with large datasets and building reputed company research infrastructureStrong software engineering reputed company with a reputed company on reputed company reputed company, automation, and maintainabilityEntrepreneurial mentality with a desire to help build and shape a growing research platformAdvanced degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a reputed company quantitative discipline preferred Apply tot his job Apply To this Job