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Fintech Data Scientist Jobs (NOW HIRING)

NinjaHoldings

Data Scientist

They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and ... or FinTech • Marketing analytical experience Company : NinjaHoldings is a digital financial ...

New

Current

Senior Data Scientist

New York, NY

$170K - $220K/yr

Senior Data Scientist About Current Current is a leading U ... S. fintech serving people who have been overlooked by traditional banks. We are one of the fastest ...

Rain

Data Scientist

New York, NY · On-site

$50K/yr

This role is for a high agency Data Scientist who ensures data is useful and adopted, not just ... Experience in fintech, payments, card programs, or financial infrastructure. * Python proficiency ...

Kikoff

Data Scientist Operations

San Francisco, CA · On-site

About the Role As a Operations Data Scientist at Kikoff, you work closely with cross functional ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Kikoff

Senior Data Scientist

San Francisco, CA

About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ... Enthusiasm and comfort with using AI in analytics or for fintech problems * Experience with Machine ...

Triumph

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Triumph Arcade, Inc

Data Scientist

San Francisco, CA · On-site

$200K - $400K/yr

Experience in consumer tech, gaming, fintech, or marketplace data science, particularly in monetization, LTV modeling, or experimentation. * Prior experience as a quantitative trader or quantitative ...

Rock Connections

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... fintech, real estate and more. We're insistently different in how we look at the world and are ...

Kikoff

Senior Marketing Data Scientist

San Francisco, CA · On-site

$160K - $260K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... and our Head of Marketing Data Science. Responsibilities * Own marketing measurement and ...

Pipe Technologies

Data Scientist

$150K - $180K/yr

The Role We're looking for a hands-on Data Scientist who treats AI tooling as a core part of the ... You'll learn a tremendous amount about fintech, and there's a significant career runway at Pipe.

LendingTree

Senior Data Scientist

Charlotte, NC · On-site

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

LendingTree

Senior Data Scientist

Charlotte, NC

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

LendingTree

Senior Data Scientist

Charlotte, NC · On-site

Prior experience in Fintech * Software engineering experience TEAM CULTURE: We are seeking ... data technology and science. Our ideal candidates are those who aim to foster a team spirit and ...

Nova Credit

Senior Data Scientist

New York, NY · On-site

$168K - $199K/yr

We were named in Forbes' Fintech 50 in 2025 and Built In's Best Places to Work, 2025. Nova Credit ... THE OPPORTUNITY The Senior Data Scientist role will be part of the Data Science team at Nova Credit ...

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How much do fintech data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for fintech data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A Fintech Data Scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and domain knowledge, often through online courses or certifications.

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 is the role of data science in fintech?

A fintech data scientist analyzes financial data to develop models that improve risk assessment, fraud detection, and customer insights. They use tools like machine learning, statistical analysis, and programming languages such as Python or R to support decision-making and innovation in financial services.

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 within the tech and finance sectors.

What is the salary of a data scientist in fintech?

The salary of a fintech data scientist typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and financial modeling can earn higher compensation, often exceeding $180,000.

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.

More about Fintech Data Scientist jobs
What cities are hiring for Fintech Data Scientist jobs? Cities with the most Fintech Data Scientist job openings:
What are the most commonly searched types of Fintech Data Scientist jobs? The most popular types of Fintech Data Scientist jobs are:
What states have the most Fintech Data Scientist jobs? States with the most job openings for Fintech Data Scientist jobs include:
What job categories do people searching Fintech Data Scientist jobs look for? The top searched job categories for Fintech Data Scientist jobs are:
Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 11% Full Time, and 84% Part Time. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

NinjaHoldings

Remote

Full-time

Posted yesterday

Job description

Job Summary:
NinjaHoldings is a company founded in 2017 aiming to transform the interaction between everyday Americans and financial services. They are seeking a Data Scientist to build predictive models, analyze consumer risk behavior, and support model implementation while collaborating with cross-functional teams.
Responsibilities:
• Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
• Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
• Support the implementation of models by working closely with the software engineering team and performing post release checks and analysis
• Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
• Establish key performance metrics and develop automated reporting dashboards using SQL and Python
• Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
• Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
• Communicate concise and actionable business strategies to senior management
Qualifications:
Required:
• Bachelor's degree required
• 2+ years of professional experience with data analytics and statistical modeling
• Experience with relational databases and SQL
• Programming experience with Python
• Strong quantitative and problem-solving skills with key attention to detail
• Experience supporting and working with cross-functional teams in a dynamic environment
Preferred:
• Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
• Experience working with specialty finance or FinTech
• Marketing analytical experience
Company:
NinjaHoldings is a digital financial platform that offers loans, cards, payments, lending, and other financial products. Founded in 2017, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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