Quantitative Researcher, Central Execution Desk
Company websitetower-research.com (Tower Research Capital, opens in new tab)
Base salary $120K to $200K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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.
Responsibilities
- Researching market impact, execution cost, slippage, fill quality, etc. across global markets
- Building models to explain and predict execution outcomes
- Designing and analyzing A/B experiments to identify real execution improvements
- Working on causal inference methods
- Developing optimization models for various execution objectives
- Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style analytics to improve portfolio-level execution outcomes
- Contributing to research on execution algorithms
- Building research tools, simulations, dashboards, and reports that help traders and PMs make better execution decisions
- Partnering with traders, PMs, quant developers, and engineers to turn research prototypes into robust production analytics.
Qualifications
- 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
- At least 2–5 years of quantitative research experience, ideally in execution research, market microstructure, or financial data modeling
- Strong knowledge of statistics, time-series analysis, experiment design, optimization, machine learning, and financial markets
- Experience working with large financial datasets
- Strong Python skills for research, data analysis, modeling, and simulation. C++/Rust experience is a plus but not required
- Familiarity with convex optimization, causal inference, market impact models, stochastic control is a plus
- Good understanding of market microstructure
- 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
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:
- 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.
Source: Tower Research Capital on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($120,000) is above 17% of the 67 Science & Research roles in New York listed on this site; 2 others list the same floor. Their median floor is $150,000; the middle half runs from $124,400 to $186,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingQuantitative Researcher, Central Execution Desk$120K to $200K
Manager, Procurement$125K to $145K
Software Engineer$130K to $170K
Senior Systems EngineerFrom $150K
Senior Project Manager$150K to $200K
Software Engineer, Machine Lifecycle$150K to $250K
Data Analyst$150K to $180K
Chart as a table
| Role | Published base |
|---|---|
| Quantitative Researcher, Central Execution Desk (this listing) | $120K - $200K |
| Manager, Procurement | $125K - $145K |
| Software Engineer | $130K - $170K |
| Senior Systems Engineer | From $150K |
| Senior Project Manager | $150K - $200K |
| Software Engineer, Machine Lifecycle | $150K - $250K |
| Data Analyst | $150K - $180K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-04
Where this pay comes from
Location as the employer wrote it: New York
Anticipated annual base salary range $120,000 - $200,000, plus eligible for discretionary bonus.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
