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From Home 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 work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... Qualifications - Current student from any degree discipline with strong numerical and analytical ...

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... Qualifications - Current student from any degree discipline with strong numerical and analytical ...

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... trading firms, investment banks, and fintech companies. Our students come from top universities ... Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic Trading

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... trading firms, investment banks, and fintech companies. Our students come from top universities ... Quant Trading * Quant Developer * Quantitative Analyst * Risk Quant * Systematic Trading

... researcher, quant trader, and quant developer, and what each type of firm actually looks for. * You're comfortable advising candidates ranging from undergrads and new grads to experienced ...

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From Home Quant Trading information

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$98K

$169.7K

$259.5K

How much do from home quant trading jobs pay per year?

As of Jul 19, 2026, the average yearly pay for from home 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 is the difference between From Home Quant Trading vs Quant Analyst?

AspectFrom Home Quant TradingQuant Analyst
CredentialsDegree in finance, mathematics, or related fields; often requires certifications like CFA or CQFSimilar credentials; often requires advanced degrees and certifications
Work EnvironmentRemote, independent trading environment, often self-directedOffice-based or hybrid, focused on data analysis and model development
Industry UsageUsed by hedge funds, proprietary trading firms, and individual tradersEmployed by investment banks, asset management firms, and financial institutions

From Home Quant Trading involves executing trades independently from a remote location, often focusing on algorithmic strategies. Quant Analysts typically work in teams within financial institutions, analyzing data and developing models. Both roles require strong quantitative skills and similar educational backgrounds, but differ mainly in work setting and application focus.

Can quant traders work from home?

Quant traders often have the ability to work from home, especially if they use advanced computing tools, programming skills, and data analysis software. Many firms support remote work arrangements, but some roles may require in-person collaboration or access to secure trading environments. Successful remote quant traders typically have strong technical skills and reliable internet connectivity.

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

In the field of quantitative trading from home, highly successful traders or hedge fund managers can earn over $1 million annually through large trading volumes and performance-based bonuses. These roles typically require advanced skills in mathematics, programming, and finance, along with significant experience and risk management expertise. Other high-earning jobs may include senior roles in investment banking or private equity, but they often involve on-site work and long hours.

Is 40 too old to become a quant?

Age is not a strict barrier to becoming a quantitative trader, as success depends more on skills, experience, and knowledge of programming, mathematics, and finance. Many quants transition into the field later in life, often after gaining relevant expertise or certifications such as a master's or PhD in a related field. Continuous learning and strong analytical skills are key factors regardless of age.

What jobs pay 500,000 a year in the US?

In the field of quantitative trading, senior roles such as hedge fund quant traders or portfolio managers can earn $500,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience with financial models and trading algorithms.
More about From Home Quant Trading jobs
What cities are hiring for From Home Quant Trading jobs? Cities with the most From Home 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 From Home Quant Trading jobs? States with the most job openings for From Home Quant Trading jobs include:
What job categories do people searching From Home Quant Trading jobs look for? The top searched job categories for From Home Quant Trading jobs are:
Infographic showing various From Home Quant Trading job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

$300K/yr

Full-time

Posted 27 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