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Full Time Machine Learning Finance Jobs in Raleigh, NC

Truist

Data Scientist II

Raleigh, NC · On-site

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or ...

Yodlee

Credit Fraud Analytics Director

Raleigh, NC · On-site

At Yodlee Inc, we're at the forefront of innovation, utilizing cutting‑edge Machine Learning ... global financial services landscape. About the role * The Credit & Fraud Analytics Director is ...

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All JobsFull Time Machine Learning Finance JobsFull Time Machine Learning Finance Jobs in Raleigh, NC

Full Time Machine Learning Finance information

See Raleigh, NC salary details

$24.3K

$90K

$131.7K

How much do full time machine learning finance jobs pay per year?

As of Jun 18, 2026, the average yearly pay for full time machine learning finance in Raleigh, NC is $90,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $106,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Finance professional, and why are they important?

To thrive as a Full Time Machine Learning Finance professional, you need a solid background in quantitative analysis, statistics, computer science, and finance, usually supported by a relevant degree. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with financial data systems are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this field. These skills ensure the successful development and deployment of data-driven financial models that support better decision-making and risk management.

What is a Full Time Machine Learning Finance job?

A Full Time Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems. Professionals in this role develop predictive models for tasks such as risk assessment, trading strategies, fraud detection, and portfolio optimization. They work closely with financial analysts and data scientists to create solutions that can automate processes, improve decision-making, and identify patterns in large datasets. The role typically requires strong knowledge of both finance and advanced machine learning methods, as well as programming and data analysis skills.

What is the difference between Full Time Machine Learning Finance vs Full Time Data Scientist?

AspectFull Time Machine Learning FinanceFull Time Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of finance and machine learning certificationsDegree in Statistics, Computer Science, or related fields; data analysis and programming skills
Work EnvironmentFinancial institutions, hedge funds, banks, fintech companiesTech companies, consulting firms, finance, healthcare, retail
Industry UsageFinance-specific applications like risk modeling, algorithmic tradingBroad industry applications including marketing, healthcare, finance

Full Time Machine Learning Finance roles focus on applying machine learning techniques specifically to financial data and problems within financial institutions. In contrast, Full Time Data Scientist positions have a broader scope across various industries, utilizing data analysis and modeling skills to solve diverse business challenges. While both roles require strong technical skills, the finance-specific role emphasizes financial knowledge and applications.

What are some common challenges faced by machine learning professionals working in the finance sector?

Machine learning professionals in finance often encounter challenges such as dealing with sensitive and highly regulated data, ensuring model transparency and explainability for compliance purposes, and adapting to rapidly changing market conditions. Additionally, integrating machine learning models with existing financial systems and collaborating closely with domain experts, such as quantitative analysts and risk managers, are key parts of the role. Staying updated on both technological advancements and regulatory changes is also essential for success in this dynamic environment.
What are the most commonly searched types of Machine Learning Finance jobs in Raleigh, NC? The most popular types of Machine Learning Finance jobs in Raleigh, NC are:
What are popular job titles related to Full Time Machine Learning Finance jobs in Raleigh, NC? For Full Time Machine Learning Finance jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Machine Learning Finance jobs in Raleigh, NC look for? The top searched job categories for Full Time Machine Learning Finance jobs in Raleigh, NC are:
Full Time Machine Learning Finance jobs near you
Post-Doc Research Associate

Post-Doc Research Associate

UNC-Chapel Hill

Chapel Hill, NC • On-site

Full-time

Posted 16 days ago

University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

263rd of 537 rated colleges and universities

Job description

Posting Details
Department Mathematics - 318900 Posting Open Date 06/14/2022 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc Research Associate Vacancy ID PDS003495 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent on Experience or Dependent on Qualifications. Proposed Start Date 09/01/2022 Estimated Duration of Appointment 12 Months
Position Information
Be a Tar Heel! Primary Purpose of Organizational Unit
The mission of the Department of Mathematics is to extend the frontiers of mathematical knowledge and the ways it is used in the real world, to disseminate that knowledge and train the next generation of teachers and researchers, as well as those choosing careers with industry or government. The Department is committed to building and nourishing interaction with other units across campus using mathematics, institutes and industries in the research triangle, across the state and the nation. The Department maintains a strong research program as well as a comprehensive educational program. An active, healthy research environment is essential for the training of graduate students and enlivens the teaching of undergraduate courses, bringing students into contact with new and relevant mathematics and creating a population with the necessary mathematical skills and appreciation, encouraging some to join the next generation of researchers and educators. The fundamental importance of education in mathematics is reflected in the General College curriculum's foundations and connections requirements in quantitative methods. The Department is strongly committed to making its programs open and accessible to members of groups historically underrepresented in the sciences.
Position Summary
Applications are invited for one postdoctoral position in Applied Mathematics at the University of North Carolina at Chapel Hill. The anticipated start date is September 1, 2022. The ideal candidate has research background and interests in one or more of the following areas: optimal transport (mathematical theory, computational analysis, machine learning applications), approximation theory, or mathematical models in biology and/or medicine. Teaching duties for the position can be tailored to the applicant's background, interests, and career goals. The initial appointment is for 1 year, with the possibility of extension for another year upon satisfactory performance and funding.
Minimum Education and Experience Requirements
A Ph.D. in Mathematics, or a related field, is required by the start of the appointment.
Required Qualifications, Competencies, and Experience
A Ph.D. in Mathematics, or a related field, is required by the start of the appointment.
Preferred Qualifications, Competencies, and Experience
Preferred research in the area of optimal transport (mathematical theory, computational analysis, machine learning applications), approximation theory, or mathematical models in biology and/or medicine.
Special Physical/Mental Requirements Special Instructions
"For further information, please visit "https://math.ucsd.edu/~cmoosmueller/">https:
//math.ucsd.edu/~cmoosmueller/, or contact Caroline Moosmueller at
"mailto:cmoosmueller@ucsd.edu">cmoosmueller@ucsd.edu".
Quick Link https://unc.peopleadmin.com/postings/233046
Posting Contact Information
Department Contact Name and Title Caroline Moosmueller, Associate Professor Department Contact Telephone or Email cmoosmueller@ucsd.edu Postdoctoral Affairs Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University's Equal Employment Opportunity office at (919) 966-3576 or send an email to equalopportunity@unc.edu.

Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.

Equal Opportunity Employer Statement
The University is an equal opportunity, employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789

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