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Graduate Quant Jobs in Decatur, GA (NOW HIRING)

Required : • Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field • 1+ years of professional experience building and deploying ...

... and quantitative fit tests. * Provide training on industrial hygiene related topics to CDC ... A bachelor's or graduate/higher level degree from an accredited institution in industrial hygiene ...

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

Senior Analyst, Commercial Card

Atlanta, GA · Hybrid

$82K - $102K/yr

... graduate experience in Investment Banking, Consulting, Big 4, Strategic Finance, Corporate Strategy, or a similarly analytical environment * Strong quantitative, analytical, and modeling skills

Senior Analyst, Commercial Card

Atlanta, GA · Hybrid

$82K - $102K/yr

... graduate experience in Investment Banking, Consulting, Big 4, Strategic Finance, Corporate Strategy, or a similarly analytical environment * Strong quantitative, analytical, and modeling skills

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

Collect, analyze, and interpret data using qualitative and quantitative methods. * Screen, enroll ... Mentor junior researchers, graduate students, or interns involved in research activities. * Ensure ...

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Graduate Quant information

See Decatur, GA salary details

$95.7K

$165.7K

$253.4K

How much do graduate quant jobs pay per year?

As of Jul 22, 2026, the average yearly pay for graduate quant in Decatur, GA is $165,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $194,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Graduate Quant, and why are they important?

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by Graduate Quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What are Graduate Quants?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Decatur, GA? For Graduate Quant jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Graduate Quant jobs in Decatur, GA look for? The top searched job categories for Graduate Quant jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Graduate Quant jobs? Cities near Decatur, GA with the most Graduate Quant job openings:
Machine Learning Engineer I

Machine Learning Engineer I

CNN

Atlanta, GA • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding for millions of users. The role involves collaborating with cross-functional teams and working on production ML systems that have measurable product impact.
Responsibilities:
• Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
• Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
• Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
• Optimize ML systems for real-time, web-scale performance serving millions of users
• Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
• Contribute to code reviews, documentation, and team knowledge sharing
Qualifications:
Required:
• Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
• 1+ years of professional experience building and deploying machine learning systems in production environments
• Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
• Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
• Solid understanding of software engineering best practices, including version control, testing, and CI/CD
• Ability to collaborate effectively with cross-functional partners
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
Preferred:
• Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
• Hands-on experience with recommendation systems, search, NLP, or information retrieval
• Familiarity with data pipelines, feature stores, or embedding infrastructure
• Experience with experimentation platforms, A/B testing, and experimentation analysis
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
• Interest in generative AI applications and/or the media and news industry
Company:
CNN Worldwide is the most honored brand in cable news, reaching more individuals on television and online than any other cable news organization in the United States. Founded in 1980, the company is headquartered in Jakarta, IDN, with a team of 1001-5000 employees. The company is currently Late Stage.