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Full Time Arbitrage Jobs (NOW HIRING)

Equity Delta-One & TRF Trader

Chicago, IL · On-site

$100K - $140K/yr

Market Arbitrage: Proactively identify and capture mispricing between OTC instruments and newly ... Beyond the base salary, our full-time employees receive a competitive total rewards package ...

$16.50 - $19.50/hr

Merchandiser II - St Louis, MO ADM Milling Company This is a full-time, exempt level position ... Manage and trade truck freight and arbitrage positions * Work closely with centralized customer ...

Algorithmic Trader Intern

Chicago, IL

$15.50 - $20.50/hr

... arbitrage trading paired with innovative software. You will work closely with Junior and Senior ... We are proud to offer more world-class benefits for our full-time employees and their families.

Algorithmic Trader Intern

Chicago, IL · On-site

$15.50 - $20.50/hr

... arbitrage trading paired with innovative software. You will work closely with Junior and Senior ... We are proud to offer more world-class benefits for our full-time employees and their families.

Model/Anlys/Valid Officer

New York, NY · On-site

$225K - $250K/yr

Apply mathematical theories and no-arbitrage pricing techniques to develop, maintain and enhance ... Time Type: Full time Primary Location: New York New York United States Primary Location Full Time ...

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Full Time Arbitrage information

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How much do full time arbitrage jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for full time arbitrage in the United States is $38.17, according to ZipRecruiter salary data. Most workers in this role earn between $36.30 and $40.87 per hour, depending on experience, location, and employer.

What is a full time arbitrage professional?

A Full Time Arbitrage professional is someone who dedicates their career to identifying and exploiting price differences of the same or similar assets across different markets or platforms. This can involve trading stocks, cryptocurrencies, commodities, or even products in retail and e-commerce. The goal is to buy low in one market and sell high in another, generating profit from the price discrepancies. Full-time arbitrage requires a strong understanding of markets, analytical skills, and often the use of sophisticated software or algorithms to identify opportunities quickly.

What are the key skills and qualifications needed to thrive as a full time arbitrage trader?

To thrive as a Full-Time Arbitrage Trader, you need strong analytical abilities, quantitative skills, and a solid understanding of financial markets, often supported by a degree in finance, math, or economics. Proficiency with trading platforms, programming languages (such as Python or R), and data analysis tools is typically required. Attention to detail, quick decision-making, and discipline are crucial soft skills that distinguish successful traders. These skills ensure the ability to identify and capitalize on market inefficiencies quickly and profitably while managing risk effectively.

What are the main challenges someone might face when working full time in arbitrage, and how can they be addressed?

Working full-time in arbitrage often involves navigating rapidly changing market conditions and intense competition. One common challenge is staying updated with real-time data and executing trades quickly to capitalize on price discrepancies before they disappear. Additionally, managing risk and ensuring compliance with relevant regulations can be demanding. To address these challenges, professionals should invest in robust trading software, continuously monitor regulations, and develop strong analytical and decision-making skills. Collaborating with a knowledgeable team can also provide valuable insights and improve trade efficiency.

What is the difference between Full Time Arbitrage vs Retail Arbitrage?

AspectFull Time ArbitrageRetail Arbitrage
CredentialsNo formal certifications requiredNo formal certifications required
Work EnvironmentOnline, flexible, self-directedPhysical stores, variable hours
Industry UsageE-commerce, resellingRetail, reselling
Search & Comparison IntentUnderstanding online reselling strategiesFinding products in retail stores to resell

Full Time Arbitrage involves online reselling with a focus on sourcing products from various online platforms, offering flexibility and a digital work environment. Retail Arbitrage typically involves purchasing products from physical retail stores to resell online, often requiring store visits. Both roles share similarities in reselling but differ mainly in sourcing methods and work settings.

More about Full Time Arbitrage jobs

What cities are hiring for Full Time Arbitrage jobs?

Cities with the most Full Time Arbitrage job openings:

What are the most commonly searched types of Arbitrage jobs?

The most popular types of Arbitrage jobs are:

What states have the most Full Time Arbitrage jobs?

States with the most job openings for Full Time Arbitrage jobs include:

What job categories do people searching Full Time Arbitrage jobs look for?

The top searched job categories for Full Time Arbitrage jobs are:

Infographic showing various Full Time Arbitrage job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $79,399 per year, or $38.2 per hour.

Applied AI Engineer

David Joseph & Company

San Francisco, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 28 days ago


Job description

San Francisco, CA · On-site (5 days/week) · Full-time Compensation: $180,000–$250,000 + competitive equity

About the Company

Our client builds AI that operates computers the way humans do — navigating browsers, processing documents, and working through legacy systems — to automate the messiest enterprise finance operations. It's going after the $300B+ BPO industry built on labor arbitrage that software historically couldn't touch, because people were the product. It recently raised a seed round from a top-tier infrastructure investor. Early customers range from $500M to $5B in revenue, including a large property-management company automating accounts payable and invoice processing, and a major European retailer reconciling orders.

Industry: AI Tools / enterprise finance automation

The Role

Own the intelligence that powers the client's automation. You'll turn research into production across browser-agent reliability, document understanding, and inference optimization — making the system more accurate and faster every week.

Tech stack: Python, PyTorch, and modern ML frameworks; LLMs, agents, RAG, and fine-tuning; inference optimization (quantization, caching, routing).

Requirements
  • Strong Python and ML frameworks, particularly PyTorch
  • Applied ML/AI engineering experience at a strong company
  • An eval-and-metric mindset — thinks in terms of production metrics, not just benchmarks
  • Comfort with messy data and figuring out how to make it useful
  • A track record of shipping — can describe specific systems built end to end, not just research
  • Crisp communication about their own work, without buzzwords
  • Based in San Francisco or willing to relocate; in-person 5 days a week
Nice to Haves
  • Real applied ML or AI-engineering work at a respected Series A–D startup or selective technical org (e.g., Ramp, Databricks, Scale, Stripe)
  • Lab or research exposure (e.g., SAIL, BAIR, MIT CSAIL) paired with evidence of shipping, not just publishing
  • Recent momentum toward LLMs, agents, RAG, fine-tuning, or production ML systems
  • Experience with RL, retrieval systems, or agent-based systems
  • Cross-stack range: inference optimization, data pipelines, fine-tuning, and model monitoring
  • Published ML papers or significant OSS contributions
Why Join
  • A category-defining problem: building AI that actually operates software end to end to attack a $300B+ market
  • Top-tier backing from a standout infrastructure investor
  • Real enterprise traction: live customers from $500M to $5B in revenue
  • Frontier research-to-production work: browser-agent reliability, document understanding, fine-tuning pipelines, and inference optimization — shipping improvements every week
  • Ground-floor ownership: a six-person team in SF; this hire owns the intelligence layer that powers the whole product
Details
  • Location — San Francisco, CA
  • Work policy — On-site, 5 days/week
  • Compensation — $180,000–$250,000 + competitive equity
  • Visa sponsorship — Available (H-1B, O-1)
  • Employment type — Full-time