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Fintech Data Scientist Jobs (NOW HIRING)

CWCapital

Fintech Data Integration Analyst

Irving, TX · On-site

We're looking for a Fintech Data Integration Analyst to join our team. This role is ideal for ... Bachelor's degree in information systems, Finance, Computer Science, or a related field, or ...

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 ...

Payactiv

Data Scientist

Milpitas, CA · On-site

Payactiv is a FinTech company in Silicon Valley focused on providing workers access to their earned wages. They are seeking an experienced Data Scientist to join their Finance Risk & Analytics team ...

Payactiv

Data Scientist

Milpitas, CA · On-site

Payactiv is a FinTech company based in Silicon Valley, focused on providing workers with access to their earned wages. They are seeking an experienced Data Scientist to join their Finance Risk ...

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 ...

BlackLine

$149K - $187K/yr

OverviewWe are looking for a Data Scientist to join our Product & Technology organization and play ... Experience working in data-intensive, product-driven environments, preferably in SaaS or FinTech

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.

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 ...

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How much do fintech data scientist jobs pay per year?

As of Jun 30, 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.

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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 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% 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 • On-site

Other

Posted yesterday

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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