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Head 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 ...

THE ROLE The Head of Trading Analytics leads MFS's global, multi-asset trading execution analytics ... The role also includes leading a quantitative analytics team and partnering closely with Trading ...

We train candidates for roles in quant trading, quant research, quant development, and other elite ... We are hiring a Head of Content and Audience Growth to turn Wall Street Quants into the most ...

$200K - $300K/yr

As the Head of Institutions, you will play a pivotal role in helping scale Uniswap's institutional ... Experience with crypto, DeFi, tokenization, stablecoins, quant trading, or other emerging tech ...

Head of Institutions

Manhattan, NY · On-site

$200K - $300K/yr

As the Head of Institutions, you will play a pivotal role in helping scale Uniswap's institutional ... Experience with crypto, DeFi, tokenization, stablecoins, quant trading, or other emerging tech ...

Head of Institutions

New York, NY · On-site

$200K - $300K/yr

As the Head of Institutions, you will play a pivotal role in helping scale Uniswap's institutional ... Experience with crypto, DeFi, tokenization, stablecoins, quant trading, or other emerging tech ...

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Head Quant Trading information

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$81.5K

$100.1K

$128K

How much do head quant trading jobs pay per year?

As of Sep 10, 2026, the average yearly pay for head quant trading in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a head quant trading?

The Head of Quant Trading is a senior leadership position responsible for overseeing quantitative trading strategies within a financial firm. This role involves managing a team of quantitative analysts and traders, developing and implementing algorithmic trading models, and ensuring the profitability and risk management of trading activities. The Head of Quant Trading collaborates with other departments such as technology and risk management, stays updated on market trends, and often plays a key part in shaping the firm's overall trading strategy. Strong quantitative, technical, and leadership skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a head quant trading?

To thrive as a Head of Quantitative Trading, you need advanced quantitative analysis skills, expertise in financial markets, and typically a strong academic background in mathematics, statistics, or a related field. Proficiency with programming languages like Python or C++, quantitative trading platforms, and knowledge of risk management systems are essential, along with relevant certifications such as CFA or FRM being advantageous. Exceptional leadership, strategic thinking, and effective communication skills distinguish top performers in this role. These capabilities are crucial for developing successful trading strategies, leading high-performing teams, and driving consistent profitability in competitive markets.

What are some common challenges faced by a head quant trading when managing a diverse team of quantitative analysts and traders?

A primary challenge for a Head of Quant Trading is balancing the technical expertise of quantitative analysts with the practical experience of traders to ensure effective collaboration and strategy development. Managing team dynamics, aligning on risk tolerance, and integrating new technologies or models can also present difficulties. Additionally, staying ahead of market changes and regulatory requirements requires strong leadership and adaptability. Successful Heads of Quant Trading foster open communication, encourage knowledge sharing, and support ongoing professional development to address these challenges.

What are the most commonly searched types of Quant Trading jobs?

The most popular types of Quant Trading jobs are:

What are popular job titles related to Head Quant Trading jobs?

For Head Quant Trading jobs, the most frequently searched job titles are:

$300K/yr

Full-time

Re-posted 20 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