Tower Research Capital

Quantitative Researcher, Central Execution Desk

Tower Research Capital · New York

Posted about 3 months ago · $120,000 - $200,000

or apply directly on Tower Research Capital's site. We never take the application ourselves.

Is this posting real?

This role has been open
101 days
Tower Research Capital's roles stay open a median of 103 days
Reposted
No
Salary listed
Yes
27% of Tower Research Capital's roles list one
Ghost-job risk at Tower Research Capital
high
86 stale, 0 reposted of 86 open
Hiring momentum
18 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

Measured from postings appearing on and disappearing from Tower Research Capital's own greenhouse board since 2026-08-03. Full hiring picture for Tower Research Capital.

About this role

The Quantitative Researcher at Tower Research Capital will focus on building models and analytics to enhance execution quality for global trading teams. This role involves researching market impact, transaction costs, and developing optimization models while collaborating with traders and engineers to create robust production analytics. The position requires a strong quantitative background and the ability to communicate findings effectively to various stakeholders.

Our read on this posting3.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tower Research Capital as an employer.

What you need

  • A Masters or Bachelors from a top-tier university in mathematics, statistics, computer science, financial engineering, physics, operations research, or a related quantitative field
  • 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
  • Ability to write clear research notes and explain quantitative results to traders, PMs, and engineers

Nice to have

  • PhD preferred
  • C++/Rust experience is a plus but not required
  • Familiarity with convex optimization, causal inference, market impact models, stochastic control is a plus
  • Prior academic publications or comparable research writing are a plus
  • Good understanding of market microstructure

What you get

  • 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)

Worth weighing

  • No specific mention of the technology stack beyond Python and potential C++/Rust
  • Salary range provided but no details on bonus structure or performance metrics
  • The role requires collaboration across various teams, which may indicate a need for strong interpersonal skills

Summarised from Tower Research Capital's posting. Read the full original.

Listed by Tower Research Capital on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

More roles at Tower Research Capital

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