Senior Options Quantitative Researcher

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 models • Improving real-time volatility valuation and fitting • Researching short to mid frequency volatility alphas • Collaborating with other traders and quantitative researchers to optimize existing strategies • Mentoring junior traders and/or quantitative researchers Qualifications: • 3+ years of experience in a quantitative research role with a focus on options pricing, volatility surfaces, and risk management • Experience in researching predictive volatility alphas over various time horizons • Understanding of the practical considerations required in implementing and executing trading signals • Expertise in detailed implementations of numerical pricing for American options • Ability to work with large multi-faceted datasets • Passion and drive to take a leading role in a growing options business • Relevant programming experience, preferably in Python and/or C++ • Excellent attention to detail Anticipated New York annual base salary range $120,000-180,000, plus eligible for discretionary bonus Benefits Tower’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 policies • Savings plans and other financial wellness tools available in each region • Hybrid working opportunities • Free 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 year • Workshops and continuous learning opportunities At 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.