Role at a glance
- Job function
-
Investments & Capital Markets Portfolio Management & Trading
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- New York, New York, United States 120 Broadway, New York, United States
- Experience
- Experience may be gained in paid and unpaid positions Skills may be gained through academic coursework and concurrently while pursuing academic studies
- Education
- PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field
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Role Summary
The Quantitative Researcher researches trading signals and develops algorithms and analytical tools for trading. The role analyzes market data and supports trading through simulation and live-execution oversight.
What You'll Do
- Design, implement, and deploy trading algorithms.
- Research high- to mid-frequency alphas and analyze market data, market microstructure, and alternate data for patterns.
- Create tools for pattern analysis and develop data platforms and libraries of analytical computations for market-data analysis and trading.
- Develop, augment, and calibrate exchange simulators.
- Integrate market intuition and discretionary oversight to manage live execution.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related STEM field; 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, including experience dealing with large amounts of data/tick data; signal generation and statistical models; programming in Python and C++. Skills may be gained through academic coursework and concurrently while pursuing academic studies.
Required
- PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field
- Deep learning (neural architectures), specifically generative models or reinforcement learning
- Applied mathematics: calculus, linear algebra, and optimization theory
- Statistics: 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, including experience dealing with a large amount of data/tick data
- Signal generation and statistical models
- Programming skills in Python and C++
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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About the company
Tower Research Capital
Large Enterprise
Tower Research Capital is a global financial services firm specializing in quantitative trading and technology-driven market making. Founded in 1998, the company leverages advanced mathematical models and cutting-edge technology to analyze market trends and execute trades across various asset classes. With a focus on innovation and efficiency, Tower Research Capital is committed to providing liquidity and enhancing market stability, often operating at the intersection of finance and technology. The firm fosters a collaborative environment that encourages talent development and embraces a diverse workforce, making it an ideal setting for aspiring finance professionals and tech enthusiasts alike.