Quantitative Researcher
Tower Research Capital
| Company | Tower Research Capital |
| Category | Science & Research |
| Location | Hong Kong |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 4 Mar 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
This is a new team operating on a collaborative basis, with a rare opportunity to work on challenging problems across the full business scope and have outsized impact. Location is flexible for the right candidate, though Hong Kong or New York are preferred.
Responsibilities
Analyzing large data sets of various origins to form and test hypotheses regarding market behavior
Researching and building statistical models of financial instruments’ valuation and returns
Formalizing and implementing trading strategies and algorithms through solving the appropriate optimization problems
Building robust and scalable quantitative research methods, tools and platforms, across the full pipeline from data extraction and analysis to model calibration and reporting
Qualifications
Solid academic background in mathematics, machine learning, computer science, physics or a similar quantitative field with a strong research experience equivalent to research-oriented masters degree or ideally a PhD in the field
Strong quantitative research experience in the systematic trading space, across idea generation, research, deployment, and production analysis, with a track record of delivering impactful results
Effective programming skills and prior experience building high quality, scalable software in scripting / dynamic languages such as Python or lower level languages such as C++, ideally in both
Ability to communicate clearly and effectively both at a high level and in details
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
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