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Fintech Data Science Jobs in Raleigh, NC (NOW HIRING)

Retired.com

Software Engineer Manager

Chapel Hill, NC · Remote

We sit at the intersection of fintech innovation and retirement planning, helping clients invest in ... Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent ...

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Fintech Data Science information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do fintech data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for fintech data science 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 is a Fintech Data Scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

How do data scientists in fintech typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

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

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

What are popular job titles related to Fintech Data Science jobs in Raleigh, NC? For Fintech Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Fintech Data Science jobs in Raleigh, NC look for? The top searched job categories for Fintech Data Science jobs in Raleigh, NC are:
Fintech Data Science jobs near you
Infographic showing various Fintech Data Science 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.

Software Engineer Manager

Retired.com

Chapel Hill, NC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

About Retired.com

At Retired.com, we're on a mission to give everyday Americans control over their financial future. We sit at the intersection of fintech innovation and retirement planning, helping clients invest in alternative assets like cryptocurrency, precious metals, real estate, and private equity through self-directed IRAs and other tax-advantaged accounts. We're a fully remote team building the financial infrastructure for the next generation of retirement investing, and we're proud to be Great Place to Work Certified.

About the Role

Our Software Engineering Manager leads a team of engineers building the platform that powers self-directed retirement investing for everyday Americans. You'll blend hands-on technical leadership with people management, partnering with product, design, and other engineering leaders to ship reliable, secure software while growing the careers of the engineers on your team.

This is a fully remote position, but candidates must be based in the Durham/Raleigh/Chapel Hill, NC area. 

What you'll do
  • You'll lead and develop a team of 4 to 6 software engineers, owning hiring, performance management, growth conversations, and team culture.
  • You'll set team goals, track progress against roadmap commitments, and ship high-quality software on time.
  • You'll partner with product and design to prioritize engineering work in alignment with business objectives.
  • You'll provide technical guidance, architectural oversight, and mentorship to engineers across the team.
  • You'll lead system design efforts focused on scalable, secure, and cloud-native software.
  • You'll oversee incident management, on-call rotations, and root cause analysis for production issues.
  • You'll champion engineering practices that support continuous integration, automated testing, and effective deployment.
  • You'll manage resource allocation, project tracking, and status reporting for engineering initiatives.

AI & Productivity

  • Use AI tools thoughtfully to work smarter, move faster, and free up time for the work that matters most.
  • Look for ways to improve how we work, and bring fresh ideas to the team.
  • Apply sound judgment when working with sensitive or regulated information, in line with our data governance guidelines.
  • Share what's working - new tools, workflows, productivity wins - so the whole team gets stronger.
What you'll bring:
  • 7+ years of software development experience, including 2+ years leading engineering teams.
  • A proven track record managing engineers and driving on-time technical delivery.
  • Advanced proficiency in one or more modern programming languages (e.g., Python, JavaScript, Go, C#).
  • Experience building and operating production-grade systems at scale.
  • Strong understanding of system architecture, scalable design, and cloud-native development.
  • Working knowledge of Agile or Scrum methodologies, CI/CD pipelines, and automated testing practices.
  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.
  • Strong communication, collaboration, and sound judgment working with product, design, and business partners.

What We Offer

  • Competitive base salary
  • Comprehensive medical, dental, and vision coverage
  • 401(k) plan to help you save for the future you're helping others build
  • Generous paid time off plus paid holidays, including your birthday and work anniversary
  • Fully remote work
  • Monthly $50 internet reimbursement
  • Learning and development pathways to support your growth
  • Peer-to-peer recognition through Bonusly
  • BitcoinIRA account with no trading fees
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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