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Algorithmic Trading Jobs in Atlanta, GA (NOW HIRING)

Fetcherr

Airline Pricing Domain Expert

Atlanta, GA · On-site +1

Description Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate ...

Macy's

Principal, Engineer - MarTech

Johns Creek, GA · On-site

$180K - $300K/yr

... and algorithms, actively participating in hands-on development tasks. Experience in packaged ... Clearly communicate technical and business trade-offs related to system design to stakeholders.

Macy's

Principal, Engineer - MarTech

Johns Creek, GA

$180K - $300K/yr

... and algorithms, actively participating in hands-on development tasks. Experience in packaged ... Clearly communicate technical and business trade-offs related to system design to stakeholders.

American Software

Business Consultant

Atlanta, GA · On-site

... AI-driven algorithms, and machine learning to help deliver integrated planning and operations ... Logility is a publicly traded company (NASDAQ: LGTY). Learn more at Logility is looking for our ...

American Software

Business Consultant

Atlanta, GA · On-site

... AI-driven algorithms, and machine learning to help deliver integrated planning and operations ... Logility is a publicly traded company (NASDAQ: LGTY). Learn more at Logility is looking for our ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Atlanta, GA

Algorithmic Trading information

See Atlanta, GA salary details

$71.6K

$82.5K

$90.4K

How much do algorithmic trading jobs pay per year?

As of Aug 25, 2026, the average yearly pay for algorithmic trading in Atlanta, GA is $82,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $87,500.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

More about Algorithmic Trading jobs

What are the most commonly searched types of Algorithmic Trading jobs in Atlanta, GA?

The most popular types of Algorithmic Trading jobs in Atlanta, GA are:

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For Algorithmic Trading jobs in Atlanta, GA, the most frequently searched job titles are:

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The top searched job categories for Algorithmic Trading jobs in Atlanta, GA are:

Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Atlanta, GA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $82,461 per year, or $39.6 per hour.

Airline Pricing Domain Expert

Atlanta, GA • On-site, Remote

Fetcherr
See more jobs at Fetcherrexternal

Full-time

Posted 15 days ago

Job description

Description
Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
About the Role
We're looking for a passionate and knowledgeable Domain Expert with strong expertise in airline pricing. You will play a key role in bridging industry knowledge with product development, helping shape the way our platform models, explains, and supports airline pricing logic.
Requirements
  • Bachelor's degree in a relevant field (Economics, Aviation Management, Industrial Engineering, Business, or similar).
  • 3+ years of hands-on experience in airline pricing or revenue management - either at an airline, GDS, or pricing content provider (e.g., ATPCO).
  • Experience working with systems that support RM/Pricing teams.

Domain Expertise:
  • Deep understanding of airline pricing concepts including RBDs, fare ladders, private vs. public fares, seasonality, fare rules, surcharges, and ancillaries.
  • Familiarity with ATPCO data structures, GDS fare filing logic, and how airlines manage and distribute pricing content.
  • Bonus: knowledge of NDC, dynamic offers, or experience with pricing automation tools.

Analytical & Technical Skills:
  • Strong analytical mindset with the ability to interpret and structure complex pricing logic.
  • Proficiency in Excel; experience with SQL or BI tools (e.g., Looker, Tableau) is an advantage.
  • Ability to identify patterns and inconsistencies in fare data or pricing outcomes.

Content & Communication:
  • Proven ability to write clear, structured documentation and business logic definitions.
  • Comfortable translating industry expertise into product content, user guides, and configuration rules.
  • Excellent communication skills in English - both verbal and written.

Soft Skills:
  • Startup mindset - hands-on, flexible, proactive, and able to operate in a fast-moving environment.
  • Team player with a high sense of ownership and accountability.
  • Passionate about improving how airlines price and sell their products.

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