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Arbitrage Search Jobs (NOW HIRING)

They are looking for a data engineer to join theirquantitative development team who will be a close partner to Equities Statistical Arbitrage trading team. This role can be based in New York, NY or ...

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Arbitrage Search information

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$32.5K

$75.5K

$110.5K

How much do arbitrage search jobs pay per year?

As of Jul 8, 2026, the average yearly pay for arbitrage search in the United States is $75,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $91,500.00 per year, depending on experience, location, and employer.

What is an example of arbitrage?

Arbitrage in a job context involves taking advantage of price or value differences between markets or platforms. For example, a person might buy a product at a lower price on one marketplace and sell it at a higher price on another, or find undervalued job listings and resell their skills at a higher rate. This requires market awareness and quick decision-making skills.

Can you make money with arbitrage?

Arbitrage search involves identifying price differences across markets or platforms to generate profit, often in e-commerce, finance, or retail. Success depends on market knowledge, quick execution, and managing transaction costs; it can be profitable but also carries risks and requires skill and research. Consistent income is not guaranteed and depends on market conditions and individual effort.

What is an Arbitrage Search job?

An Arbitrage Search job involves identifying price differences for the same asset, service, or product across different markets or platforms to generate a profit. This can occur in financial markets, e-commerce, or digital advertising. Professionals in this role use data analysis, automation tools, and market insights to execute profitable trades or transactions. The goal is to leverage inefficiencies before they are corrected by the market.

What is search arbitrage?

Search arbitrage is a job or strategy that involves buying online advertising traffic at a low cost and redirecting it to other sites or offers where the traffic can generate higher revenue. It requires skills in digital marketing, keyword research, and analytics tools to identify profitable opportunities. The goal is to profit from the difference between advertising costs and earnings from conversions or sales.

What are some common challenges faced in an Arbitrage Search role?

Professionals in Arbitrage Search often face the challenge of quickly detecting and capitalizing on fleeting pricing discrepancies across markets, which requires both speed and precision. The pressure to make timely, accurate decisions in a competitive and rapidly changing environment can be significant. Additionally, changes in regulations, technology updates, and evolving market conditions demand that arbitrage specialists stay continuously informed and adaptive. Successful candidates can expect to collaborate closely with trading teams, analysts, and technologists to overcome these challenges and optimize trading strategies.

What is the highest paying job in a hedge fund?

In hedge funds, the highest paying roles are typically senior portfolio managers and hedge fund founders, who earn substantial performance-based bonuses and management fees. These positions require extensive experience, strong investment skills, and often a track record of delivering high returns, with compensation sometimes reaching hundreds of millions of dollars annually.

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

To excel in Arbitrage Search, candidates need strong analytical abilities, financial acumen, and expertise in identifying market inefficiencies, often backed by a degree in finance, economics, or a related field. Familiarity with financial modeling software, databases, and advanced Excel skills, as well as knowledge of trading platforms and market analysis tools, is typically required. Attention to detail, curiosity, and the ability to make quick, data-driven decisions are valuable soft skills for success in this role. These competencies enable professionals to uncover profitable opportunities and act swiftly in dynamic market environments.

More about Arbitrage Search jobs
What cities are hiring for Arbitrage Search jobs? Cities with the most Arbitrage Search job openings:
What are the most commonly searched types of Arbitrage Search jobs? The most popular types of Arbitrage Search jobs are:
What states have the most Arbitrage Search jobs? States with the most job openings for Arbitrage Search jobs include:
Infographic showing various Arbitrage Search job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,500 per year, or $36.3 per hour.

Data Research Developer

Quanta Search

Manhattan, NY โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Our client,a quantitative asset management firm,derives its unique edge in asset management from its blend of high-frequency tradingand science-based investment approaches. They are looking for a data engineer to join theirquantitative development team who will be a close partner to Equities Statistical Arbitrage trading team. This role can be based in New York, NY or Austin, TX. Data drives systematic trading and is critical to all aspects of the firm's business.This is a hands-on position with significant growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and experience with both systems development and data modeling.
Responsibilities
  • Communicate with quantitative researchers and other end-users to understand their requirements and potential future requests
  • Investigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularities
  • Develop ETL processing components using cutting edge technologies, and write robust tests for on-going quality control
  • Support developed transformations and ETL frameworks in production trading as well as backtest research
  • Build flexible data API components in iterations with research peers to ensure their needs are met
  • Optimize data IO and load balancing for distributed, grid computation
  • Analyze a variety of large data sets to develop and implement alpha signals
Requirements
  • Detail oriented
  • Strong programming skills, preference for Python, Java is a plus
  • Experience with the scientific Python stack, Numpy, Scipy, Pandas, Matplotlib
  • Ability to find practical solutions and successfully make trade-offs between long-term goals and short-term deliverables
  • Ability to troubleshoot difficult problems, both numerically and technically
  • Proficient with SQL, experience with Postgres is a plus
  • Experience with Hadoop, Spark, and Docker is a plus
Preferred Education and Experience
  • Computer Science/Math or similar degree
  • 2-5 years of professional experience, ideally exposure to work with complex data sets and all stages of cleaning, preparing data to be used in specific format