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Phd Statistics Jobs in Raleigh, NC (NOW HIRING)

PhD in Statistics, Biostatistics, or related field with 3+ years of industry experience. * MS in Statistics, Biostatistics, or related field with 5+ years of industry experience. * At least 2 years ...

PhD in Statistics, Biostatistics, or related field with 3+ years of industry experience. * MS in Statistics, Biostatistics, or related field with 5+ years of industry experience. * At least 2 years ...

Provides independent review of project work produced by other statisticians in the department. 4. ... Qualifications 1. MS or PhD in Biostatistics or related field. Moderate experience in clinical ...

Provides independent review of project work produced by other statisticians in the department. 4. ... Qualifications 1. MS or PhD in Biostatistics or related field. Moderate experience in clinical ...

College graduate in Biostatistics, Statistics, or Mathematics discipline or related field, masters or PhD preferred, or many years of related experience required. * Minimum of 5 years' experience in ...

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics ... MS/PhD) and/or relevant certifications (data science and AI/ML). • Experience working with ...

In this role, you will perform statistical research tasks of moderate to high technical complexity ... Master's degree and 6 years of experience, PhD and 1 years of experience, or equivalent combination ...

In this role, you will perform statistical research tasks of moderate to high technical complexity ... Master's degree and 6 years of experience, PhD and 1 years of experience, or equivalent combination ...

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Phd Statistics information

See Raleigh, NC salary details

$22.7K

$89.8K

$166.3K

How much do phd statistics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for phd statistics in Raleigh, NC is $89,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,745.00 and $117,439.00 per year, depending on experience, location, and employer.

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data analysis, and academia, often requiring strong analytical and programming skills in tools like R or Python. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

How much do PhD statisticians make?

PhD statisticians typically earn between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or those in specialized fields such as data science or research can offer higher salaries, often exceeding $150,000.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

What are the key skills and qualifications needed to thrive in the Phd Statistics position, and why are they important?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries compared to those with lower degrees, with median annual wages typically exceeding national averages for related fields. Their compensation depends on experience, industry, and location, and advanced skills in data analysis and statistical software can lead to higher-paying opportunities.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What job categories do people searching Phd Statistics jobs in Raleigh, NC look for? The top searched job categories for Phd Statistics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Phd Statistics jobs? Cities near Raleigh, NC with the most Phd Statistics job openings:
Infographic showing various Phd Statistics job openings in Raleigh, NC as of June 2026, with employment types broken down into 11% Internship, 62% Full Time, 11% Part Time, and 16% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $89,770 per year, or $43.2 per hour.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Raleigh, NC • Hybrid

Full-time

Posted 24 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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