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Algorithmic Trading Developer Jobs in Georgia (NOW HIRING)

TriNet

Senior Data Scientist

Dunwoody, GA

Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about ... They will develop and code software programs, algorithms, and automated processes to cleanse ...

TriNet

Senior Data Scientist

Atlanta, GA · On-site

Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about ... They will develop and code software programs, algorithms, and automated processes to cleanse ...

TriNet

Senior Data Scientist

Dunwoody, GA · On-site

Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about ... They will develop and code software programs, algorithms, and automated processes to cleanse ...

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Algorithmic Trading Developer information

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How much do algorithmic trading developer jobs pay per hour?

As of Sep 12, 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 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 the key skills and qualifications needed to thrive as an algorithmic trading developer?

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 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 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.

How to become an algorithmic trading developer?

To become an algorithmic trading developer, you typically need a strong background in computer science, mathematics, or finance, with proficiency in programming languages such as Python, C++, or Java. Knowledge of financial markets, trading strategies, and experience with data analysis, algorithm design, and trading platforms are essential. Gaining relevant certifications or completing specialized courses can also enhance your qualifications.

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
Infographic showing various Algorithmic Trading Developer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $105,415 per year, or $50.7 per hour.

Senior Director, RGM Product Transformation Lead

Atlanta, GA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$224K - $234K/yr

Other

Posted 6 days ago

Job description

  • Own and prioritize the product backlog for digital pricing capabilities
  • Drive development of portfolio optimization capabilities for brand-pack-channel mix analysis, SKU rationalization, assortment optimization, incidence and margin-pool analysis, and scenario planning
  • Partner with the RGM Product Manager to align product roadmaps with enterprise objectives and digital transformation goals
  • Establish portfolio planning processes balancing growth initiatives, operational needs, technical sustainability, innovation, and value realization
  • Evaluate digital product investments, business cases, and enhancement opportunities using data-driven prioritization frameworks
  • Drive portfolio-level backlog alignment with strategic business outcomes and enterprise priorities
  • Manage dependencies across products, platforms, teams, and business functions
  • Partner with Finance, Digital leadership, and business stakeholders on investment planning, funding prioritization, and portfolio optimization
  • Monitor portfolio performance through business, product, adoption, operational, and value realization metrics
  • Institutionalize closed-loop portfolio optimization across markets and Operating Units
  • Provide portfolio insights and recommendations to senior leadership on investment trade-offs, opportunities, and delivery risks
  • Drive consistency in product management practices, governance standards, prioritization frameworks, and decision-making processes
  • Champion data, analytics, automation, and artificial intelligence capabilities
  • Shape agentic AI application within the Portfolio Optimization product, including guardrails, human-in-the-loop checkpoints, and accountability
  • Ensure alignment between product development, market adoption, operations, and long-term strategic objectives
  • Identify opportunities to simplify product landscapes, eliminate duplication, and improve enterprise efficiency
  • Foster collaboration among business, digital, engineering, data, and market stakeholders
  • Drive continuous improvement in portfolio delivery, value measurement, and strategic planning
Requirements
  • Bachelor’s degree in Business, Information Technology, Computer Science, Engineering, Data Analytics, or a related field; Master’s degree preferred
  • 8+ years of experience in product management, product ownership, portfolio management, digital transformation, technology strategy, or related disciplines
  • Experience managing complex portfolios of digital products, platforms, or enterprise technology capabilities within global organizations
  • Strong understanding of modern product operating models, agile methodologies, portfolio governance, and value-based prioritization practices
  • Deep knowledge of global RGM portfolio optimization best practices, including brand-pack-channel mix management, SKU rationalization, assortment optimization, price-pack architecture, and margin-pool/incidence analysis
  • Experience deploying portfolio optimization capabilities across multiple markets and Operating Units
  • Experience translating business strategy into investment decisions, product priorities, and measurable business outcomes
  • Experience leading cross-product planning, dependency management, and portfolio optimization efforts
  • Understanding of bottling partner go-to-market models, route-to-market models, and channel and outlet segmentation
  • Strong business, financial, and commercial acumen
  • Experience leveraging data, analytics, and artificial intelligence capabilities
  • Understanding of mix decomposition, incidence models, assortment optimization algorithms, and profit-pool mapping
  • Demonstrated ability to balance short-term business needs with long-term strategic objectives and technical sustainability
  • Familiarity with portfolio optimization and RGM technology ecosystems, including optimization engines and scenario-planning tools
  • Ability to drive adoption and change in a matrixed, franchise environment
  • Strong analytical and problem-solving skills and experience establishing performance metrics and value realization frameworks
  • Experience working with engineering, product, architecture, data, and business teams within agile environments
  • Excellent executive communication, stakeholder management, and influencing capabilities
  • Experience operating in large, highly matrixed global organizations
  • Strong understanding of change management, organizational transformation, and digital capability development
  • Working fluency in AI/ML-driven analytics
  • Understanding of agentic AI guardrails, escalation paths, human judgment, and auditability
  • Must be currently authorized to work full-time in the United States and must not require company sponsorship
  • Product, Agile, Scrum, Scaled Agile Framework, or portfolio management certifications are desirable
Core Competencies

Demonstrates expertise in product management and portfolio optimization, with a strong focus on data-driven decision-making, agile methodologies, and strategic alignment across digital transformation initiatives. Proven ability to manage complex portfolios and drive value realization through effective stakeholder collaboration and performance metrics.

Highest-signal resume keywords
  • Product Management
  • Portfolio Optimization
  • Agile Methodologies
  • Data-Driven Decision-Making
  • Stakeholder Management
Hard Skills
  • Digital Transformation
  • Portfolio Management
  • Value-Based Prioritization
  • Brand-Pack-Channel Mix Management
  • SKU Rationalization
  • Assortment Optimization
  • Margin-Pool Analysis
  • Scenario Planning
  • Performance Metrics
  • AI/ML-Driven Analytics
Soft Skills
  • Analytical Skills
  • Problem-Solving Skills
  • Executive Communication
  • Influencing Capabilities
  • Collaboration
Certifications & Qualifications
  • Product Management Certification
  • Agile Certification
  • Scrum Certification
  • Scaled Agile Framework Certification
Industry Keywords
  • Digital Products
  • Global Organizations
  • Change Management
  • Organizational Transformation
  • RGM Technology Ecosystems
Tools & Technologies
  • Optimization Engines
  • Scenario-Planning Tools
  • Data Analytics Platforms
  • Agile Tools
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