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Quantitative Research Analyst
Franklin TempletonStamford, Connecticut, United States of America
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Application Developer
IBMArmonk, NY, United States
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Diverse LynxStamford, CT, United States
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Quantitative Analysis Intern
Group1001Stamford, CT, United States
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Blockchain Developer
Mitchell MartinGreenwich, CT, United States
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Kaav Inc.Stamford, CT, United States
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Hybrid Quantitative Analytics Analyst, CCM
Carrington Holding CompanyGreenwich, CT, United States
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ServiceNow ITSM Developer
Purple DriveStamford, Connecticut, USA
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Kutir TechnologiesStamford, Connecticut, USA
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Location : Stamford CT (Hybrid).The AI Developer will develop and implement AI-based solutions that support clients digital and data initiatives.
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Cedent ConsultingStamford, CT, United States
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Android Developer
TIGER LLCGreenwich, CT, United States
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AkkodisStamford, CT, United States
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Quantitative Research Analyst, Smart Execution
Graham Capital Management, L.P.Norwalk, CT, United States
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Hybrid Quantitative Analytics Analyst, CCM
CarringtonOld Greenwich, CT, United States
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Trexquant Investment LPStamford, CT, United States
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IpsosNorwalk, CT, United States
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Quantitative Engineering - Investments Technology
Corebridge FinancialNorwalk, CT, United States
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Hybrid Quantitative Analytics Analyst, CCM
Carrington Holding Company, LLCOld Greenwich, CT, United States
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Come join our amazing team and work a hybrid work schedule in our office in Greenwich, CT!.The Quantitative Analytics Analyst will be responsible for supporting the company's asset management busin...serp_jobs.internal_linking.show_moreserp_jobs.last_updated.last_updated_variable_days
We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics.
Responsibilities
Build and maintain proprietary pricing / analytics tooling for volatility research.
Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems.
Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals.
Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading.
Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.
Requirements
BS / MS / PhD degree in a STEM field.
5+ years of experience in quantitative research, specifically focused on volatility markets.
Proficiency in programming languages like Python and statistical modeling.
Experience with industry volatility models; strong understanding of options pricing.
Familiarity with C++ a nice to have.
Strong problem-solving skills with an ability to work effectively both independently and as part of a team.
Benefits
Competitive salary, plus bonus based on individual and company performance.
Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
Pre-Tax Commuter Benefits – making your commute smoother.