ZipRecruiter

Log In

1

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

Tata Consultancy Services

AI ML Data Scientist

Cary, NC · On-site

They are seeking an AI ML Data Scientist with extensive experience in Data Science and Analytics, particularly in the Banking and Financial Services sector. Responsibilities : • Data Scientist with ...

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 ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social ... As an experienced Data Scientist you will have the ability to share new ideas and collaborate on ...

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 ...

Fidelity Investments

Director, Data Science

Durham, NC · On-site

... financial services industry. Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education ...

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 · On-site

$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 ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

Collaborate closely with stakeholders across product, finance, operations, marketing, and quality. * Help define best practices for analytics, experimentation, and data science across the ...

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 Jul 26, 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.
AI ML Data Scientist

AI ML Data Scientist

Tata Consultancy Services

Cary, NC • On-site

Full-time

Posted 5 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 230 rated it services

Job description

Job Summary:
Tata Consultancy Services is a global leader in IT services, consulting, and business solutions. They are seeking an AI ML Data Scientist with extensive experience in Data Science and Analytics, particularly in the Banking and 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 Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 10 Years of experience
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Tata Consultancy Services logo

About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

View All Tata Consultancy Services Jobs

Apply