Quantitative Researcher (Mulitple Openings)

Posted Yesterday
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New York, NY, USA
In-Office
150K-250K Annually
Entry level
Fintech
The Role
Designs and deploys trading algorithms, researches high- to mid-frequency trading strategies, analyzes market and alternative data, develops analytical tools and data platforms, contributes to trading libraries, calibrates exchange simulators, and supports live execution. Requires advanced quantitative expertise in mathematics, statistics, machine learning, statistical modeling, large-scale data analysis, and Python and C++ programming.
Summary Generated by Built In

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.

Responsibilities

  • Designing, implementing and deploying trading algorithms
  • Researching high to mid frequency alphas
  • Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
  • Creating tools to analyze data for patterns and developing data platforms
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting and calibrating exchange simulators
  • Integrating market intuition and discretionary oversight to manage live execution

Qualifications

  • PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field
  • Skills with the following required:
    • Deep Learning (Neural Architectures), specifically Generative Models or Reinforcement Learning
    • Applied Mathematics, specifically Calculus, Linear Algebra, and Optimization Theory
    • Statistics, specifically Interference and Signal Processing, Advanced Time-Series Analysis, Information Theory, or Statistical Arbitrage
    • Back-testing, simulation, and statistical techniques including auto-regression, auto-correlation and Principal Component Analysis
    • Data mining and analysis skills, including experience dealing with a large amount of data/tick data
    • Signal generation and statistical models
    • Programming skills in Python and C++
  • Experience may be gained in paid and unpaid positions
  • Skills may be gained through academic coursework and concurrently while pursuing academic studies

Anticipated New York annual base salary range $150,000.00 to $250,000.00 per year, plus eligible for discretionary bonus. 

If interested, in addition to applying here you can email your resume indicating job # ID 00098198 to: Tower HR at [email protected].

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.

#LI-DNI

Skills Required

  • PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related STEM field
  • Deep learning expertise, specifically generative models or reinforcement learning
  • Applied mathematics knowledge, including calculus, linear algebra, and optimization theory
  • Statistics expertise, including inference and signal processing, advanced time-series analysis, information theory, or statistical arbitrage
  • Experience with back-testing, simulation, and statistical techniques including autoregression, autocorrelation, and principal component analysis
  • Data mining and analysis skills involving large amounts of data or tick data
  • Experience with signal generation and statistical models
  • Programming skills in Python and C++

Tower Research Capital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tower Research Capital and has not been reviewed or approved by Tower Research Capital.

  • Strong & Reliable Incentives — Pay is considered competitive versus broader tech and finance markets, with strong base and bonus potential in quant research/trading and specialized engineering. Feedback suggests total compensation can be particularly attractive early in career and for revenue‑linked roles.
  • Leave & Time Off Breadth — Paid time off is described as generous, with policies highlighting substantial annual vacation. Feedback suggests formal allowances are a notable part of the package.
  • Wellbeing & Lifestyle Benefits — Complimentary in‑office meals, regular social events, donation matching, and professional development workshops are highlighted as everyday perks. Feedback suggests these cultural and lifestyle benefits are a consistent strength across materials.

Tower Research Capital Insights

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The Company
HQ: New York, NY
1,056 Employees
Year Founded: 1998

What We Do

Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world.

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