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Fintech Data Scientist Jobs (NOW HIRING)

CFS

Data Scientist

Orlando, FL · On-site

$70K - $85K/yr

Data Scientist Location: Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85 ... They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO · On-site

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

BillGO, Inc.

Data Scientist AI/ML

Fort Collins, CO

$102K - $146K/yr

We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the ... In a fintech environment where trust, speed, and compliance are critical, this role ensures that ...

Kikoff

Data Scientist Operations

San Francisco, CA · On-site

$160K - $260K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... About the Role As a Operations Data Scientist at Kikoff, you work closely with cross functional ...

Kikoff

Senior Data Scientist

San Francisco, CA · On-site

$226K - $254K/yr

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech ... About the Role As a Senior Data Scientist at Kikoff, you work closely with cross functional teams ...

Highbeam, Inc

Data Scientist

New York, NY · On-site

$200K - $225K/yr

This role blends data science, customer analytics, financial analysis, and market insights to ... Experience with fintech, e-commerce, lending, or D2C businesses * Background in FP&A or consumer ...

Kikoff

Marketing Data Scientist

San Francisco, CA · On-site

$160K - $200K/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 ...

Quanta Search

Data Scientist

Chicago, IL · Remote

The data science team consists of highly motivated and experienced data scientists and they are a ... FinTech professionals A fun, highly collaborative environment.

TIFIN

Junior Data Scientist

Charlotte, NC · On-site

They are seeking a Junior Data Scientist to contribute to their machine learning platform, focusing ... TIFIN is an AI platform that develops fintech solutions focused on tailoring investment experiences ...

Quanta Search

Data Scientist

Chicago, IL · On-site

The data science team consists of highly motivated and experienced data scientists and they are a ... FinTech professionals • A fun, highly collaborative environment. Thank you for illuminating ...

Current

Senior Data Scientist

New York, NY · On-site

$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 ...

Current

Senior Data Scientist

New York, NY · On-site

$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 ...

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Fintech Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do fintech data scientist jobs pay per year?

As of Jun 9, 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.

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 data science dead in 10 years?

As a Fintech Data Scientist, the field of data science is expected to evolve rather than become obsolete over the next decade. Advances in machine learning, automation, and data analysis tools will likely expand the role, requiring ongoing learning of programming languages like Python and skills in data management. The demand for data-driven decision-making in finance and technology sectors suggests data science will remain a valuable profession.

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.
Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA

Other

Posted 10 days ago

Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling

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