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Ai Quant Jobs in Georgia (NOW HIRING)

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

... with quantitative models in terms of ROI to the company and the phases needed to recoup investments and showcase impact • Provide support for functional teams with an "AI Enablement Partner ...

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

... quantitative field * 5+ years of professional experience * 3+ years of experience designing ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

... quantitative field * 5+ years of professional experience * 3+ years of experience designing ... with AI technologies such as Gemini, Anthropic, OpenAI * Active Certification/Advanced ...

Bank is seeking an AI Scientist to join the Artificial Intelligence Center of Excellence (AI CoE ... Bachelor's degree in a quantitative field such as statistics, computer science, engineering or ...

... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ... AI technologies such as Gemini, Anthropic, and OpenAI. * Active certification or advanced ...

The AI Architect Manager is a critical leadership role responsible for designing, developing, and ... Bachelor's degree in computer science or quantitative field experience or equivalent experience ...

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

D. in a relevant quantitative field. * Healthcare Domain Experience: Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment. * Product Mindset:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field * 4+ years of experience in AI/ML engineering, data engineering, or advanced analytics roles

New

... related quantitative field • 2+ years in shipping production grade software. • 1+ years ... for AI research and a strong desire to contribute to cutting-edge projects • Proficiency in ...

... related quantitative field • 2+ years in shipping production grade software. • 1+ years ... for AI research and a strong desire to contribute to cutting-edge projects • Proficiency in ...

D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

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

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What job categories do people searching Ai Quant jobs in Georgia look for?

The top searched job categories for Ai Quant jobs in Georgia are:

What cities in Georgia are hiring for Ai Quant jobs?

Cities in Georgia with the most Ai Quant job openings:

Infographic showing various Ai Quant job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 17 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.