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Quant Trading Jobs (NOW HIRING)

Deeter Analytics Inc

Quant Trading

$300K/yr

We're launching a dedicated algorithmic division-and we're looking for a Head of Quant Trading to architect and scale this effort from day one. Role Summary You will spearhead the development ...

Jump Trading

The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it's like to be ...

Jump Trading

The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it's like to be ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers ...

WallStreetQuants

Quant Recruiter

We help aspiring quants prepare for and land roles at top quantitative trading firms, hedge funds, and proprietary trading shops. Our community includes candidates actively recruiting for quant ...

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Quant Trading information

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$98K

$169.7K

$259.5K

How much do quant trading jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quant trading in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are quant trading jobs?

Quant trading jobs involve developing and implementing mathematical models and algorithms to identify trading opportunities in financial markets. Professionals in these roles typically have strong skills in programming, statistics, and finance, and often use tools like Python, R, or MATLAB. These positions are common in hedge funds, investment banks, and proprietary trading firms, and often require a background in quantitative analysis or related fields.

How much do quant trading professionals make?

Quant trading professionals, such as quantitative analysts and traders, typically earn base salaries ranging from $100,000 to $200,000 annually, with total compensation often exceeding $300,000 when including bonuses and profit sharing. Compensation varies based on experience, firm size, and performance, with senior roles and those at hedge funds or proprietary trading firms earning higher pay. Strong programming skills and advanced degrees in math, finance, or computer science are common requirements in this field.

What is a quant trading job?

A Quant Trading job involves using mathematical models, statistical techniques, and computer algorithms to analyze financial markets and make automated trading decisions. Quant traders develop and implement strategies to identify profitable opportunities, often leveraging historical data and predictive analytics. They work in hedge funds, proprietary trading firms, and investment banks, typically focusing on high-frequency trading, market-making, or statistical arbitrage. Strong programming skills (Python, C++, or R) and a deep understanding of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in quant trading?

To thrive in Quant Trading, you need a strong quantitative background, mathematical modeling expertise, and advanced programming skills, typically supported by degrees in mathematics, statistics, physics, or computer science. Proficiency in programming languages such as Python, C++, or R, and experience with financial modeling platforms and data analysis tools are essential. Excellent problem-solving skills, attention to detail, and the ability to work under pressure make candidates stand out in this fast-paced environment. These competencies are crucial for developing, testing, and implementing trading strategies that drive profitability and manage risk in dynamic financial markets.

What are some typical challenges faced in quant trading?

Quant trading professionals often deal with challenges such as rapidly changing market conditions, the need to process and analyze vast amounts of data quickly, and fierce competition from other trading firms. The role requires staying ahead by constantly researching and updating trading algorithms to maintain profitability. Effective communication with portfolio managers, developers, and risk managers is also key in adapting strategies and sharing insights. While the pace can be intense, successfully meeting these challenges is both rewarding and central to career progression in the field.

More about Quant Trading jobs
What cities are hiring for Quant Trading jobs? Cities with the most Quant Trading job openings:
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Quant Trading jobs near you
Infographic showing various Quant Trading job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Quant Trading

Deeter Analytics Inc

Remote

$300K/yr

Full-time

Re-posted 16 days ago

Job description

About Deeter Investments
Deeter Investments is a founder‑led proprietary well funded trading firm built around real‑time, data‑driven decision‑making. We prize curiosity, collaboration, and a bias for action. After years of discretionary success, we think we have some unique ways of seeing the market and developing alpha for the future that have high odds of success. We're launching a dedicated algorithmic division-and we're looking for a Head of Quant Trading to architect and scale this effort from day one. Role Summary
You will spearhead the development, optimization, and deployment of cutting‑edge algorithmic strategies and quantitative models. The position blends deep hands‑on technical work with high‑level strategic oversight across research, engineering, and trading operations.
Key Responsibilities
Quantitative Strategy Development & Research
  • Algorithm Design: Lead the creation and refinement of proprietary trading algorithms rooted in the firm's market framework, leveraging advanced statistical and machine‑learning techniques.
  • Modeling & Simulation: Build forecasting, signal‑generation, and risk models; run rigorous back‑tests and simulations to validate performance.
  • Data Analysis: Mine large, heterogeneous datasets (market microstructure, alternative data, etc.) for actionable insights.
  • Innovation: Continuously evaluate emerging research (deep learning, reinforcement learning, agent‑based modeling) to sharpen our edge.

Technical Infrastructure & Implementation
  • System Architecture: Partner with engineering to design high‑throughput trading systems that scale globally.
  • Software Development: Oversee codebases in Python, and C++; enforce best practices for testing, CI/CD, and performance monitoring.
  • Automation & Integration: Build end‑to‑end pipelines for data ingestion, model training, and live deployment; ensure seamless connection to execution venues and data feeds.
  • Tech‑Stack Stewardship: Select and integrate best‑in‑class analytics platforms, databases, and cloud resources.

Performance Analysis & Risk Management
  • Metrics & Analytics: Define and track KPIs-alpha decay, slippage, Sharpe, drawdown, and latency-via real‑time dashboards.
  • Risk Controls: Embed robust risk models and dynamic hedging; enforce firm‑wide limits and compliance requirements.
  • Optimization: Iterate relentlessly-parameter sweeps, sensitivity analyses, and scenario tests to future‑proof strategies.

Collaboration & Leadership
  • Team Mentorship: Grow and mentor a multidisciplinary team of quants, data scientists, and engineers; cultivate a culture of experimentation and peer review.
  • Documentation & Code Quality: Champion readable, well‑tested, version‑controlled code and transparent research notebooks.

Qualifications
  • Education: B.S. or M.S. in a quantitative field such as Mathematics, Computer Science, Engineering, Statistics, or Physics.
  • Experience: Minimum 2 years building and deploying profitable algorithmic strategies at a hedge fund, bank, or proprietary trading firm.
  • Programming: Advanced expertise in at least one core language (Python, C++, or Java) and familiarity with Linux, Git, and CI workflows.
  • Data Science: Deep knowledge of statistical modeling, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn).
  • Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization.
  • Language: Fluent English (written and spoken) is required.
  • Soft Skills: Exceptional analytical rigor, clear communication, and the leadership mindset to help build a high‑performance team from scratch. Deep and careful thinking but still able to progress and iterate quickly

What we offer
-A well-funded trading firm expanding into AI research and discovery - bring your best ideas and be rewarded for them.
-Real ownership and influence on roadmap, direction and products.
-Competitive base compensation with significant upside tied to results.
-A culture optimized for deep work, fast learning, and doing the right thing.
-Unique and successful first principles based approach to markets that we haven't heard anywhere else
Compensation $400k-1m + upside exposure

Apply