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Applied Mathematics Computer Science Jobs in Raleigh, NC

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

Senior Software Engineer - Cloud Platforms

Raleigh, NC · On-site

$108K - $142K/yr

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

In this role, you will apply applied mathematics, deep learning, inverse methods, and scientific computing techniques to tackle complex research challenges involving heterogeneous dynamical systems ...

Senior Software Engineer - Backend Developer

Raleigh, NC · On-site

$106K - $138K/yr

Active Single Scope (CI) Polygraph on record * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 10+ years relevant work experience with BS * 8+ ...

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Applied Mathematics Computer Science information

What can I do with mathematics and computer science?

Applied mathematics and computer science graduates can pursue careers in software development, data analysis, cybersecurity, machine learning, and quantitative research. These fields require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, often supported by certifications or advanced degrees.

What is applied mathematics in computer science?

Applied mathematics in computer science involves using mathematical methods and models to solve practical problems related to algorithms, data analysis, cryptography, and software development. It includes skills in areas such as linear algebra, probability, and optimization, which are essential for developing efficient algorithms and understanding computational systems.

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied math good for computer science?

Applied mathematics is highly valuable for computer science roles, especially in areas like algorithms, data analysis, machine learning, and cryptography. Strong mathematical skills can enhance problem-solving and enable the development of efficient, innovative solutions in tech environments.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.
What are popular job titles related to Applied Mathematics Computer Science jobs in Raleigh, NC? For Applied Mathematics Computer Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Applied Mathematics Computer Science jobs in Raleigh, NC look for? The top searched job categories for Applied Mathematics Computer Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Applied Mathematics Computer Science jobs? Cities near Raleigh, NC with the most Applied Mathematics Computer Science job openings:
Infographic showing various Applied Mathematics Computer Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Senior Manager Quantitative Analysis--Consumer Model Development

Senior Manager Quantitative Analysis--Consumer Model Development

First Citizens Bank

Raleigh, NC • Hybrid

Full-time

Posted 23 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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