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Senior Options Quantitative Researcher

$120k - $180k
Full-time

Tower Research Capital

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.Tower seeks an experienced Options Quantitative Researcher.Responsibilities:Developing options pricing and risk modelsImproving real-time volatility valuation and fittingResearching short to mid frequency volatility alphasCollaborating with other traders and quantitative researchers to optimize existing strategiesMentoring junior traders and/or quantitative researchersQualifications:3+ years of experience in a quantitative research role with a focus on options pricing, volatility surfaces, and risk managementExperience in researching predictive volatility alphas over various time horizonsUnderstanding of the practical considerations required in implementing and executing trading signalsExpertise in detailed implementations of numerical pricing for American optionsAbility to work with large multi-faceted datasetsPassion and drive to take a leading role in a growing options businessRelevant programming experience, preferably in Python and/or C++Excellent attention to detailAnticipated New York annual base salary range $120,000-180,000, plus eligible for discretionary bonusBenefitsTower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.Our benefits include:Generous paid time off policiesSavings plans and other financial wellness tools available in each regionHybrid working opportunitiesFree breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.Tower Research Capital is an equal opportunity employer.

Vacancy posted 4 days ago
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