ZipRecruiter

Log In

1

Financial Data Scientist Jobs in Raleigh, NC (NOW HIRING)

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... or financial industry experience with sales, marketing, and/or customer engagement analytics.

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... or financial industry experience with sales, marketing, and/or customer engagement analytics.

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... financial services sector. Responsibilities : • Data Scientist with 5-10+ years of result ... oriented, hands-on professional experience with a successful record of accomplishments in Data ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

What You'll Do This position will primarily be responsible for developing strategic insights to inform Finance and Product leadership on the Epic ecosystem. The Senior Data Scientist will work in a ...

Spgi

Vice President, Data Science

Raleigh, NC

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

S&P Global

Vice President, Data Science

Raleigh, NC

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Truist

Decision Scientist III

Raleigh, NC

$104K - $130K/yr

... Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. 2+ years of decision science/analytics project management experience with a diverse project focus ...

Pwc

FP&A Tech, Anaplan Director

Raleigh, NC

$155K - $410K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Risk Management/Insurance - Demonstrating strategic leadership in financial ...

NetApp

Data Product Architect

Morrisville, NC · Hybrid

$59.75 - $76.75/hr

... science, machine learning, and AI tools for coding, SQL generation, data modeling, and ... financial data and operational controls. Job Requirements Expertise in SQL, RESTful APIs, and ...

NetApp, Inc.

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

... science, machine learning, and AI tools for coding, SQL generation, data modeling, and ... financial data and operational controls. Job Requirements Expertise in SQL, RESTful APIs, and ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   ... AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   ... AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.   ... AWS * Tools/Products: Data Science Studio, Alteryx, Jupyter, Tableau, PowerBI * Performance ...

next page

Showing results 1-20

All JobsFinancial Data Scientist JobsFinancial Data Scientist Jobs in Raleigh, NC

Financial Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do financial data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for financial data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Financial Data Scientist, and why are they important?

To thrive as a Financial Data Scientist, you need strong quantitative skills, proficiency in statistical analysis, and a background in finance or economics, typically supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and knowledge of financial databases and tools like Bloomberg Terminal are also important. Critical thinking, problem-solving, and effective communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for building accurate financial models, driving data-driven decision-making, and delivering value in dynamic financial environments.

What is the difference between Financial Data Scientist vs Quantitative Analyst?

AspectFinancial Data ScientistQuantitative Analyst
Required CredentialsDegree in Finance, Data Science, or related fields; often certifications like CFA or FRMDegree in Mathematics, Statistics, Finance; CFA or FRM common
Work EnvironmentFinancial institutions, tech firms, investment firms; focus on data modeling and predictive analyticsInvestment banks, hedge funds, asset management; focus on trading strategies and risk modeling
Employer & Industry UsageUsed across finance and tech sectors for data-driven decision makingPrimarily in finance for trading, risk, and portfolio management

Financial Data Scientists analyze large datasets to develop predictive models and insights, often combining finance knowledge with data science skills. Quantitative Analysts focus on developing mathematical models for trading and risk management. While both roles require strong quantitative skills and finance knowledge, Financial Data Scientists tend to work more on data analysis and machine learning, whereas Quantitative Analysts focus on financial modeling and trading strategies.

What does a Financial Data Scientist do?

A Financial Data Scientist analyzes complex financial data using statistical, machine learning, and computational techniques to identify patterns, forecast trends, and support decision-making within financial institutions. They work with large datasets from sources like market data, customer transactions, and economic indicators to develop predictive models and data-driven strategies. Their work helps organizations manage risk, optimize portfolios, detect fraud, and gain a competitive edge in the financial sector.

How does a Financial Data Scientist typically collaborate with other departments within a financial organization?

Financial Data Scientists regularly work alongside cross-functional teams, including risk analysts, portfolio managers, and software engineers. They collaborate to develop predictive models, automate data pipelines, and translate complex data insights into actionable business strategies. Effective communication is key, as they must explain technical findings to stakeholders with varying levels of data literacy. This collaborative environment not only fosters innovation but also offers opportunities to learn from other experts and expand your professional network.
What are popular job titles related to Financial Data Scientist jobs in Raleigh, NC? For Financial Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Financial Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Financial Data Scientist jobs in Raleigh, NC are:
Financial Data Scientist jobs near you
Infographic showing various Financial Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

View All Cynet Systems Jobs