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Quant Trading Jobs (NOW HIRING)

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 ...

Quant Trading Strategy

Manhattan, NY · On-site

$120K - $140K/yr

Quant Trading Strategy Department: Global Markets Location: New York Corporate Title: The pay range for this position at commencement of employment is expected to be between $120,000-$140,000/per ...

Quant Trading Strategy

Manhattan, NY · On-site

$120K - $140K/yr

Quant Trading Strategy Department: Global Markets Location: New York Corporate Title: The pay range for this position at commencement of employment is expected to be between $120,000-$140,000/per ...

The firm deploys systematic, computer-driven trading strategies across multiple liquid asset ... Quantitative developer who will join the newly formed Central Research Technology team, which ...

The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes ... Quantitative developer who will join the newly formed Central Research Technology team,which builds ...

Quant Trading Specialist for a Systematic Trading Firm (NYC or CT) Role/Responsibilities: * Perform trade execution and system monitoring activities for a variety of products and asset classes on ...

Quant Trading Specialist for a Systematic Trading Firm (NYC or CT) Role/Responsibilities: * Perform trade execution and system monitoring activities for a variety of products and asset classes on ...

The firm deployssystematic, computer-driven trading strategies across multiple liquid asset classes ... Role: Experienced quantitative developer who will be one of the senior leads of the newly formed ...

The firm deploys systematic, computer-driven trading strategies across multiple liquid asset ... Role: Experienced quantitative developer who will be one of the senior leads of the newly formed ...

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Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused ...

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Be Seen First

Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic Trading * Algorithmic Trading * Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused ...

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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 Jun 28, 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 jobs pay 500,000 a year in the US?

In the US, highly compensated roles such as senior quantitative traders, hedge fund managers, and certain investment bankers can earn $500,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. These positions typically require advanced skills in finance, mathematics, programming, and significant experience in the industry.

How much do quant traders make?

Quant traders typically earn between $100,000 and $300,000 annually, with top performers and those at hedge funds or proprietary trading firms earning significantly more, often exceeding $1 million including bonuses. Compensation depends on experience, performance, and the firm’s size, and often includes bonuses tied to trading results and profit sharing.

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.

Is 30 too late to become a quant?

Quantitative trading is a field that values skills and knowledge over age, and many successful quants have transitioned into the role later in their careers. Gaining expertise in programming, mathematics, and finance through self-study or advanced degrees can enable a career change at age 30 or older.

What jobs make $1,000,000 a year?

In quantitative trading, some senior traders, portfolio managers, and hedge fund executives can earn $1,000,000 or more annually through base salaries, bonuses, and profit sharing. Success in these roles typically requires advanced quantitative skills, experience, and a strong track record of generating profits in financial markets.

What are the key skills and qualifications needed to thrive in the Quant Trading position, and why are they important?

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 roles?

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:
What are the most commonly searched types of Quant Trading jobs? The most popular types of Quant Trading jobs are:
What states have the most Quant Trading jobs? States with the most job openings for Quant Trading jobs include:
Infographic showing various Quant Trading job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

$300K/yr

Full-time

Posted 6 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