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Phd Computer Science Jobs in Georgia (NOW HIRING)

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

Master's or PhD in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field * Experience in supply chain, operations, or logistics domains

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of ...

Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. • PhD preferred. • Minimum of 1 year of ...

Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of ...

... computer science to solve business problems. Able to communicate analytical results generate ... PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED: Master's degree in aSTEM field with 2 ...

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

Master's degree or PhD in quantitative fields such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

... computer science to solve business problems. Able to communicate analytical results generate ... PhD in a STEM fieldwith0-1yearsofwork experience * PREFERRED: Master's degree in aSTEM field with 2 ...

... PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

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Phd Computer Science information

See Georgia salary details

$47.7K

$70.2K

$82.7K

How much do phd computer science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for phd computer science in Georgia is $70,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $78,900.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Georgia? For Phd Computer Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Georgia look for? The top searched job categories for Phd Computer Science jobs in Georgia are:
What cities in Georgia are hiring for Phd Computer Science jobs? Cities in Georgia with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Georgia as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 39% Full Time, 56% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $70,176 per year, or $33.7 per hour.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Atlanta, GA • Hybrid

Full-time

Posted 14 days ago


First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks


Job description

Overview

This is a hybrid role (if located in Atlanta, GA, Charlotte, NC or Raleigh, NC ) with the expectation that time working will regularly take place inside and outside of a company office. Three days a week in office. Open to remote in several markets for highly qualified candidate.

The Manager of Consumer Model development will lead a team of quantitative risk analysts responsible for developing, implementing, and maintaining credit risk models for the bank's consumer lending portfolio. This role serves as the tactical leader bridging strategy and execution, reporting directly to the Director of Risk Analytics & Modeling while providing hands-on leadership to junior team members. The position requires strong technical expertise combined with people management skills to ensure effective delivery of risk modeling solutions.


Responsibilities
  • Support the Director and lead the development, testing, and implementation of advanced credit risk models across consumer lending products including Credit Cards, and Auto Loans, Mortgages, and HELOCs, with focus on Credit Card and Auto portfolios.
  •  Execute the model development plan and ensure proper delivery. Serve as the owner of model documentation, and development and testing materials.
  •  Lead and mentor a team of model development professionals, fostering a culture of innovation and continuous improvement in risk modeling approaches.
  •  Oversee the model ongoing monitoring program. Review the monitoring results and explain the model performance to model users and management.
  •  Support the Director in response to model validation findings and oversee the implementation of remediation. 
  •  Collaborate with other modeling and analytical teams to continuously improve the process and gain efficiency. Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance.
  •  Support the Director and partner with business leadership to translate complex risk analytics insights into actionable business strategies and policy recommendations.
  •  Establish and maintain relationships with regulatory bodies, external/internal auditors, model Risk Management and key stakeholders.
  •  Guide the development and implementation of new risk assessment methodologies and tools to improve the organization's risk management capabilities.
  •  Lead strategic initiatives to modernize risk analytics infrastructure and capabilities through adoption of advanced technologies and methodologies, including AI and other intelligent tools.

Qualifications

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Qualifications:

Bachelor's Degree and 6 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience OR High School Diploma or GED and 10 years of experience in Financial, Statistical or Quantitative Analysis Experience, with at least 2 years management/lead experience

Preferred Education: advanced degree, masters/PHD in quantitative field, ie mathematics, computer science, financial engineering

Preferred Area of Study: Quantitative or Statistical Analysis, Financial Engineering, Computer Science, Mathematics

Preferred Area of Experience: Banking, Financial Engineering, Computer Science

Preferred Qualifications:


• Ph.D. degree in Statistics, Mathematics, Finance, or related quantitative field
• At least 10 years of progressive experience in credit risk model development, with at least 3 years in a leadership role
• At least 3 years hands on experience in Credit Card loss forecasting model development or validation
• Hands on experience using Python, SAS, Tableau
• Hands on experience in model development and model development documentation
• Demonstrated experience in leading teams responsible for development and implementation of enterprise-wide risk models
• Strong understanding of regulatory requirements and experience in interactions with regulatory bodies
• Experience with CCAR and CECL
• Expert knowledge of statistical modeling, machine learning techniques, and risk analytics methodologies
• Proven track record of translating complex analytical insights into actionable strategy

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

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