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Fintech Data Scientist 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 ...

Retired.com

Software Engineer Manager

Chapel Hill, NC · On-site +1

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 ...

Retired.com

Software Engineer Manager

Raleigh, 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 ...

Retired.com

Software Engineer Manager

Durham, 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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All JobsFintech Data Scientist JobsFintech Data Scientist Jobs in Raleigh, NC

Fintech Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do fintech data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for fintech 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 typical daily tasks and team collaborations for a Fintech Data Scientist?

Fintech Data Scientists typically spend their days analyzing large volumes of financial data, developing predictive models to assess risk or identify trends, and presenting findings to both technical and non-technical stakeholders. You’ll often work closely with software engineers, product managers, and business analysts to design, implement, and optimize data-driven solutions. Collaboration is key, as many projects require input from cross-functional teams, and clear communication ensures your insights drive product and business decisions. Expect a dynamic work environment where priorities can shift quickly, keeping the role both challenging and engaging.

What does a Fintech Data Scientist do?

A Fintech Data Scientist applies data science techniques to financial technology (fintech) challenges, such as fraud detection, credit risk modeling, algorithmic trading, and personalized financial recommendations. They analyze large datasets, develop machine learning models, and collaborate with engineers and business teams to optimize financial products and services. Their role requires expertise in statistics, programming (Python, R, SQL), and industry-specific knowledge to drive data-driven decision-making.

Is fintech a high paying career?

Fintech data scientists typically earn higher salaries compared to many other data science roles due to the industry's fast growth and demand for specialized skills like machine learning and financial modeling. Salaries can vary based on experience, location, and company size, but they generally offer competitive compensation packages. Advanced skills and certifications can further increase earning potential in this field.

Is data science good for fintech?

Data science is highly valuable for fintech, as it enables companies to analyze large financial datasets, develop predictive models, and improve decision-making processes. Fintech data scientists often work with machine learning tools, statistical analysis, and programming languages like Python or R to optimize products such as credit scoring, fraud detection, and personalized financial services.

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

To thrive as a Fintech Data Scientist, you need deep expertise in quantitative analysis, machine learning, and financial data modeling, usually supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of cloud-based analytics platforms are commonly required, while certifications such as CFA or data science credentials can be beneficial. Strong problem-solving skills, communication abilities, and business acumen help differentiate top performers in this position. These skills and qualities are essential to extract valuable insights from complex financial datasets, inform strategic decisions, and drive innovation in the fast-evolving fintech industry.

What are the most commonly searched types of Fintech Data Scientist jobs in Raleigh, NC? The most popular types of Fintech Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Fintech Data Scientist jobs in Raleigh, NC? For Fintech Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Fintech Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Fintech Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Fintech Data Scientist jobs? Cities near Raleigh, NC with the most Fintech Data Scientist job openings:
Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Data Service Group Specialist - North Hills, NC

Advyzon

Raleigh, NC • On-site

Full-time

Posted 14 days ago

Job description

We are seeking a highly motivated and customer-oriented Data Service Group Specialist to join our fast-paced FinTech team. As the first point of contact for our clients, you will play a crucial role in ensuring a seamless user experience and delivering best-in-class support for our financial technology products and services. Your ability to solve problems efficiently, communicate clearly, and manage client relationships will directly impact customer satisfaction and product adoption.
Primary Responsibilities
  • Serve as the primary contact for clients via ticketing and phone, addressing inquiries specific to custodial data, performance calculations, new data feeds, data aggregation, account reconciliation, and account and security merges.
  • Learn back-end resources and tools the Data Team utilizes to efficiently solve data related issues.
  • Investigate and resolve product or service issues, escalating to technical teams when necessary.
  • Develop deep knowledge of our FinTech platform, including custodial feeds, performance calculations, data aggregation, account management tools, and reporting features.
  • Collaborate with product, development, and sales teams to relay client feedback and contribute to continuous product improvement.
  • Maintain up-to-date records of client interactions using CRM and support ticketing systems.
  • Collaborate on support documentation, user guides, and training resources that will assist in reducing outreach for support.
  • Monitor service-level agreements (SLAs) and ensure timely resolution of support tickets.
Skills/Qualifications
  • Strong understanding of financial products and support systems.
  • Excellent problem-solving skills and the ability to explain complex concepts in simple terms.
  • Experience with CRM platforms (e.g., Salesforce, RedTail) and support tools (e.g., HubSpot, Jira).
  • Empathetic communicator with a client-first mindset and a passion for financial technology.

Service Performance & Operational Excellence
  • Meet or exceed service KPIs including:
    • Tickets resolved per day/week
    • First Response Time (FRT)
    • Time to Resolution (TTR)
    • First Contact Resolution (FCR)
  • Maintain high quality standards in communication and accuracy.
  • Achieve and sustain strong CSAT scores on resolved interactions.
  • Ensure proper prioritization during high-volume or market-driven activity periods.
Success Metrics (KPIs)
  • Tickets resolved per period
  • SLA adherence (FRT & TTR)
  • Backlog management and ticket aging
Quality & Client Experience
  • CSAT scores
  • First Contact Resolution (FCR)
  • Reopen rate
  • QA audit scores
Operational Contribution
  • Knowledge base contributions
  • Identification of recurring issues and workflow improvements
  • Effective escalation and cross-functional coordination
Knowledge & Continuous Improvement
  • Contribute to internal knowledge base articles, troubleshooting guides, and macros related to Quantum.
  • Identify recurring issues or workflow friction and provide structured feedback to leadership.
  • Assist in refining playbooks and escalation paths for trading-related support.
  • Support training initiatives for peers or new hires as expertise develops.
Cross-Functional Collaboration
  • Partner with:
    • Consulting/Onboarding to smooth post-implementation transitions.
    • Product and Engineering to relay recurring issues, edge cases, and enhancement requests.
    • Offshore data teams
  • Participate in internal discussions to improve service processes and product usability.

Requirements
  • Bachelor's degree in Business, Finance, Computer Science, or a related field preferred.
  • 2+ years of experience in client support, customer success, or technical support-preferably in a FinTech, SaaS, or financial services environment.
  • Experience with portfolio accounting systems, portfolio reconciliation and/ or account aggregation preferred.

Compensation based on experience:
Jr Level - $60k with a $10k bonus opportunity
Sr Level - $70k with a $15k bonus opportunity
This is a hybrid position at our North Hills/Raleigh location.

Apply