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Algorithmic Trading Developer Jobs in Georgia (NOW HIRING)

Fetcherr

VP Engineering

Atlanta, GA · On-site +1

$173K - $223K/yr

Description Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading ... As VP Engineering , you will serve as a senior technical and organizational leader , helping to ...

eClerx

Java Developer

Alpharetta, GA · On-site

$110K - $120K/yr

Data Structures & Algorithms, API/API Design * TypeScript, JavaScript, HTML, CSS (Bootstrap ... Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India.

FanDuel

Software Engineer

Atlanta, GA · On-site

You are proficient in a broad range of data structures and algorithms, knowing when it is ... You make appropriate implementation trade-off decisions. You participate in team design, scoping ...

FanDuel

Software Engineer

Atlanta, GA · On-site

You are proficient in a broad range of data structures and algorithms, knowing when it is ... You make appropriate implementation trade-off decisions. You participate in team design, scoping ...

Ag

Lead AI Solutions Systems Engineer

Atlanta, GA

... and algorithmic requirements. * Define and design technical validation metrics, including ML ... trade-offs, and design staging plans. * Collaborate with the AI Lead Developer to define local ...

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All JobsAlgorithmic Trading Developer JobsAlgorithmic Trading Developer Jobs in Georgia

Algorithmic Trading Developer information

See Georgia salary details

$13

$50

$63

How much do algorithmic trading developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for algorithmic trading developer in Georgia is $50.68, according to ZipRecruiter salary data. Most workers in this role earn between $46.06 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What is the difference between Algorithmic Trading Developer vs Quantitative Analyst?

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.
What are popular job titles related to Algorithmic Trading Developer jobs in Georgia? For Algorithmic Trading Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Developer jobs in Georgia look for? The top searched job categories for Algorithmic Trading Developer jobs in Georgia are:
Algorithmic Trading Developer jobs near you

VP Engineering

Fetcherr

Atlanta, GA • On-site, Remote

$173K - $223K/yr

Full-time

Posted 11 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.
As VP Engineering, you will serve as a senior technical and organizational leader, helping to scale Fetcherr's data-driven products and engineering capabilities. This is a hybrid role combining technical authority, strategic vision, and operational excellence. You will co-lead the R&D organization, work directly with customers, and be instrumental in shaping cross-functional, product-focused engineering teams.
We're looking for a leader who's both visionary and hands-on, able to drive execution, foster innovation, and build high-performance engineering cultures at scale.
Responsibilities:
Strategic & Technical Leadership
  • Act as a senior technical authority in data architecture, analytics, monitoring, and system design.
  • Report to the CTO and collaborate with Sr. peers to define and execute the company's technical roadmap.
  • Drive execution, innovation, process improvement, and change management across engineering and data science teams.
  • Scale the R&D team in line with Fetcherr's rapid growth.
  • Drive the effective usage of state of the art AI tools for improving productivity and scaling the team capabilities.

Engineering & Operational Excellence
  • Design and refine engineering processes to improve reliability, velocity, and quality.
  • Champion data quality, validation, and analytics engineering practices.
  • Deliver the commitments according to customer requirements and timelines.
  • Drive productivity and quality, also through the best practice leverage of AI tools and agentic coding.

Customer & Product Alignment
  • Serve as a technical interface to product management, understanding the customer needs and translating them into product development execution and technical strategies.
  • Represent R&D in customer discussions, guiding prioritization and product development with a real-world impact lens.

People & Culture
  • Lead a local team while collaborating with remote and distributed teams, fostering alignment, engagement, and accountability.
  • Promote a collaborative, analytical and data driven, hands-on culture across engineering, data science, and product.
  • Partner closely with product and data stakeholders to deliver scalable, production-grade AI solutions.

Requirements
Leadership & Management
  • 2+ years managing team leads in a VP role.
  • Experience growing R&D teams at a startup or high-growth tech company.
  • Proven ability to lead cross-functional teams.
  • Proven ability to align with other teams in the R&D organization, especially remote teams.

Technical Depth
  • Strong background in data engineering, analytics and data science.
  • Proven experience in cloud-native architectures (preferably GCP).
  • Experience in scaling systems, improving CI/CD,
  • Big plus: working with ML or real-time data products.

Communication & Influence
  • Ability to motivate, mentor, and grow high-performing teams, promoting accountability and extreme ownership throughout the teams.
  • Strong communicator who can align technical and business stakeholders.
  • Excellent English skills (spoken and written) - able to clearly communicate with global teams, customers, and leadership.
  • Comfortable engaging directly with customers, partners, and executives.

Mindset & Approach
  • Hands-on and detail-oriented, with a "roll up your sleeves" attitude.
  • Strategic thinker who can balance short-term wins with long-term scalability.
  • Passion for building impactful, AI-driven products.

Apply