Quantitative Researcher (Mulitple Openings)

Tower Research Capital
New York, NY

Who this role is best for

Quantitative researchers with advanced STEM degrees and expertise in machine learning will find this high-performance trading environment in New York appealing.

Best fit for

  • Candidates with advanced STEM degrees and experience in generative models or reinforcement learning
    — “PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field”
  • Individuals skilled in Python and C++ with a focus on low-latency systems and algorithmic trading
    — “Programming skills in Python and C++”
  • Professionals who enjoy collaborative, results-oriented environments and thrive on solving complex trading problems
    — “At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.”

Things to consider

  • The role requires on-site presence in New York despite hybrid working opportunities
    — “Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District”
  • Candidates must be prepared to integrate discretionary oversight with systematic trading strategies
    — “Integrating market intuition and discretionary oversight to manage live execution”

How to stand out

  • Emphasize experience with tick data and statistical arbitrage in your resume and interview responses
    — “experience dealing with a large amount of data/tick data”
  • Highlight contributions to analytical libraries or data platforms in your professional background
    — “Contributing to libraries of analytical computations to support market data analysis and trading”
  • Demonstrate your ability to analyze market microstructure and alternate data sources for trading ideas
    — “Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deploying trading algorithms
  • managing live execution
Typical background
PhD in Mathematics, Statistics, Computer Science, or related STEM field

Skills & requirements

Required

Designing Trading AlgorithmsResearching High To Mid Frequency AlphasExploring Trading IdeasCreating Tools For Data AnalysisContributing To Analytical LibrariesDeveloping Exchange SimulatorsIntegrating Market Intuition

Preferred

Experience With FPGA TechnologyHardware Acceleration

Stack & domain

Deep Learning (neural Architectures)Applied MathematicsStatisticsBack-testingSimulationStatistical TechniquesData Mining And AnalysisSignal GenerationStatistical ModelsPythonC++Quantitative TradingFinance

About the role

Original posting from 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.

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 us-ta@tower-research.com.

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

Source: Tower Research Capital careers

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