Towerresearchcapital

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.
<h3>Responsibilities</h3>
<ul>
<li>Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&amp;L</li>
<li>Developing Python tools used in trading strategies research</li>
<li>Improving the existing simulation/backtest framework</li>
<li>Monitoring &amp; maintenance of quantitative research jobs</li>
<li>Help global research team on APAC-related research through various communication channels</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). A Master's degree is preferred</li>
<li>Very good knowledge of Python language and statistical libraries like Numpy, Pandas, Polars</li>
<li>Minimum 2 years experience in Python development</li>
<li>Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environment</li>
<li>Excellent communication and teamwork abilities</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience in C++ Development </li>
<li>Experience with scripting languages such as Bash</li>
<li>Experience with workflow management and task scheduling</li>
<li>Good knowledge of both Equities and Equity Derivatives trading</li>
</ul>
<h3>Benefits</h3>
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:
<ul>
<li>Generous paid time off policies</li>
<li>Savings plans and other financial wellness tools available in each region</li>
<li>Hybrid working opportunities</li>
<li>Free breakfast, lunch and snacks daily </li>
<li>In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) </li>
<li>Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)</li>
<li>Volunteer opportunities and charitable giving </li>
<li>Social events, happy hours, treats and celebrations throughout the year</li>
<li>Workshops and continuous learning opportunities</li>
</ul>
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.

Quantitative Developer

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.
The Central Execution Desk is looking for a Quantitative Researcher to build models, analytics, and decision systems that improve execution quality across global trading teams. The role sits at the intersection of market impact research, transaction cost analysis, causal inference, experiment design, optimization, and execution strategy.
The researcher will work on understanding and improving how orders are routed, scheduled, evaluated, and optimized across brokers, algorithms, venues, markets, and trading teams. The work will combine rigorous quantitative research with practical execution-desk decision support, including market impact modeling, slippage analysis, causal inference, algo selection, broker evaluation, venue toxicity, A/B testing, and optimization under execution risk.
<h4>Responsibilities</h4>
<ul>
<li>Researching market impact, execution cost, slippage, fill quality, etc. across global markets</li>
<li>Building models to explain and predict execution outcomes</li>
<li>Designing and analyzing A/B experiments to identify real execution improvements</li>
<li>Working on causal inference methods </li>
<li>Developing optimization models for various execution objectives</li>
<li>Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style analytics to improve portfolio-level execution outcomes</li>
<li>Contributing to research on execution algorithms</li>
<li>Building research tools, simulations, dashboards, and reports that help traders and PMs make better execution decisions</li>
<li>Partnering with traders, PMs, quant developers, and engineers to turn research prototypes into robust production analytics.</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>A Masters or Bachelors from a top-tier university in mathematics, statistics, computer science, financial engineering, physics, operations research, or a related quantitative field. PhD preferred</li>
<li>At least 2–5 years of quantitative research experience, ideally in execution research, market microstructure, or financial data modeling</li>
<li>Strong knowledge of statistics, time-series analysis, experiment design, optimization, machine learning, and financial markets</li>
<li>Experience working with large financial datasets</li>
<li>Strong Python skills for research, data analysis, modeling, and simulation. C++/Rust experience is a plus but not required</li>
<li>Familiarity with convex optimization, causal inference, market impact models, stochastic control is a plus</li>
<li>Good understanding of market microstructure</li>
<li>Ability to write clear research notes and explain quantitative results to traders, PMs, and engineers. Prior academic publications or comparable research writing are a plus</li>
</ul>
Anticipated annual base salary range $120,000 - $200,000, 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:
<ul>
<li>Generous paid time off policies</li>
<li>Savings plans and other financial wellness tools available in each region</li>
<li>Hybrid working opportunities</li>
<li>Free breakfast, lunch, and snacks daily </li>
<li>In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) </li>
<li>Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)</li>
<li>Volunteer opportunities and charitable giving </li>
<li>Social events, happy hours, treats, and celebrations throughout the year</li>
<li>Workshops and continuous learning opportunities</li>
</ul>
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.

Quantitative Researcher, Central Execution Desk

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
<ul>
<li>Developing data pipelines to collect, process, and analyze diverse datasets at scale.</li>
<li>Designing and implementing deep learning architectures capable of processing large volumes of data.</li>
<li>Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement.</li>
<li>Building and managing agentic workflows to support scalable and efficient AI/ML solutions.</li>
<li>Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness.</li>
<li>Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.</li>
</ul>
Qualifications
<ul>
<li>A bachelor’s, master’s, or PhD degree in computer science or a related field, with at least 2–6 years of relevant experience.</li>
<li>Experience training, building, and deploying large-scale deep learning models is required.</li>
<li>Experience designing and implementing sequence and time-series models is required.</li>
<li>Expertise in Python, with hands-on experience using deep learning frameworks such as PyTorch or TensorFlow.</li>
<li>Experience with Git, CI/CD pipelines, and MLOps practices for automating model deployment and managing production machine learning workflows.</li>
<li>Working knowledge of Linux, SQL, Git, and Bash scripting.</li>
</ul>
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:
<ul>
<li>Generous paid time off policies</li>
<li>Savings plans and other financial wellness tools available in each region</li>
<li>Hybrid working opportunities</li>
<li>Free breakfast, lunch, and snacks daily </li>
<li>In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) </li>
<li>Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)</li>
<li>Volunteer opportunities and charitable giving </li>
<li>Social events, happy hours, treats, and celebrations throughout the year</li>
<li>Workshops and continuous learning opportunities</li>
</ul>
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.

Software Engineer II

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
<ul>
<li>Creating analysis tools to research trading opportunities from market data, identifying latency requirements, alpha horizons, and PNL impact</li>
<li>Developing, augmenting and calibrating exchange simulators to faithfully replay these market events</li>
<li>Researching market microstructure</li>
<li>Creating high to mid frequency alphas from market data</li>
<li>Profiling performance of existing ultra-low latency trading strategies</li>
<li>Researching, designing, implementing, and deploying new ultra-low latency trading strategies</li>
<li>Creating post-trade tools to monitor trading performance and competitiveness</li>
<li>Must be able to work onsite at the corporate office 3 or more days per week</li>
</ul>
Qualifications
<ul>
<li>Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science or related field</li>
<li>Five (5) years of experience in a Quantitative Researcher or Quantitative Developer position, job offered, or related occupation.</li>
<li>Skills with the following required:</li>
<ul>
<li>3 years of experience with machine learning modeling</li>
<li>Low latency trading</li>
<li>Mathematics and statistics, specifically machine learning techniques that deal with large data sets</li>
<li>Financial instruments and their derivatives</li>
<li>CME microstructures and market data protocol</li>
<li>Python for scientific computing</li>
<li>C++ language for designing patterns and template meta-programming</li>
</ul>
</ul>
Anticipated Illinois annual base salary range $150,000-$250,000, plus eligible for discretionary bonus. 
If interested, in addition to applying here you can email your resume indicating job # ID 00097686 to: Tower HR at <a href="mailto:us-ta@tower-research.com">us-ta@tower-research.com</a>.
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:
<ul>
<li>Generous paid time off policies</li>
<li>Savings plans and other financial wellness tools available in each region</li>
<li>Hybrid working opportunities</li>
<li>Free breakfast, lunch, and snacks daily </li>
<li>In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) </li>
<li>Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)</li>
<li>Volunteer opportunities and charitable giving </li>
<li>Social events, happy hours, treats, and celebrations throughout the year</li>
<li>Workshops and continuous learning opportunities</li>
</ul>
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

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.
Our Core Engineering department is seeking a Data Analyst to join our Data team in New York. 
Responsibilities
<ul>
<li>Contributing to batch and real-time data pipelines that ingest, cleanse, and normalize structured and unstructured sources (market data, vendor feeds, web scrapes, alternative data)</li>
<li>Writing and maintaining Python and SQL under the guidance of senior engineers</li>
<li>Applying AI/ML methods to unstructured and semi-structured sources</li>
<li>Prototyping prompts, models, and evaluation sets; helping productionize approaches that meet the firm’s accuracy bar</li>
<li>Implementing and running validation checks, anomaly detection, and reconciliation logic</li>
<li>Using statistical and ML-based methods to flag outliers and data breaks; investigate root causes and help prevent recurrence</li>
<li>Assisting with onboarding new datasets: review vendor specs and sample files, map fields to internal models, and help integrate APIs under senior oversight</li>
<li>Evaluating where LLMs or classical ML can accelerate mapping, documentation, and QA</li>
<li>Using modern data tooling to monitor jobs, improve reliability, and document processes</li>
<li>Building fluency in financial instruments, market data conventions, production engineering practices, and responsible use of AI on sensitive financial data</li>
<li>Taking ownership of well-scoped datasets and processes as you ramp</li>
</ul>
Qualifications
<ul>
<li>Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline</li>
<li>Strong proficiency in Python and SQL. Evidence of this through coursework, thesis/research code, internships, or personal projects</li>
<li>Internship or research experience involving data engineering, quantitative research, market data, or financial datasets</li>
<li>Practical experience with LLMs for unstructured data processing (document/entity extraction, classification, summarization) and with evaluation harnesses or human-in-the-loop review</li>
<li>Coursework or project experience with workflow tools (Airflow, Dagster), cloud platforms (AWS/GCP), or warehouses (Snowflake, BigQuery, Databricks).</li>
<li>Exposure to financial instruments, market microstructure, or vendor datasets (Bloomberg, S&amp;P, LSEG)</li>
<li>Prior work in a collaborative research lab or production software setting</li>
<li>Hands-on experience with machine learning or applied AI through coursework, thesis/research, internships, or projects</li>
<li>Comfortable with at least one of: classical ML (scikit-learn or similar), NLP, or LLMs (prompting, evaluation, structured extraction)</li>
<li>Demonstrated ability to work with messy, large, or imperfect datasets: cleaning, validating, summarizing, and drawing defensible conclusions</li>
<li>Familiarity with Linux or Windows command line, version control (Git), and basic software engineering hygiene (testing, documentation, code review)</li>
<li>Clear written and verbal communication</li>
<li>Ability to explain technical and AI-related findings to both engineers and non-technical stakeholders, including limitations and failure modes</li>
<li>Strong problem-solving skills, intellectual curiosity, and a bias toward getting details right</li>
<li>Comfortable working in a fast-paced, high-accountability environment</li>
</ul>
Anticipated annual base salary range USD $150,000 - $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:
<ul>
<li>Generous paid time off policies</li>
<li>Savings plans and other financial wellness tools available in each region</li>
<li>Hybrid working opportunities</li>
<li>Free breakfast, lunch, and snacks daily </li>
<li>In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) </li>
<li>Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)</li>
<li>Volunteer opportunities and charitable giving </li>
<li>Social events, happy hours, treats, and celebrations throughout the year</li>
<li>Workshops and continuous learning opportunities</li>
</ul>
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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