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Fintech Data Scientist Jobs in California (NOW HIRING)

Achieve

Data Scientist (AHL)

San Mateo, CA · On-site

$140K - $160K/yr

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Achieve

Data Scientist (AHL)

San Mateo, CA · On-site

Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S ... As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience) , you'll ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

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 ...

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 ...

Mudflap

Senior Data Scientist, Risk

Palo Alto, CA · On-site

$220K - $245K/yr

... fintech platform that processes billions in annual payment volume. We're building a data-driven ... As a Senior Data Scientist, Risk , you will develop the models, insights, and strategies that help ...

Taskrabbit

Staff Data Scientist

San Francisco, CA · On-site

$170K - $225K/yr

A minimum of 7 years industry experience in data science; previous experience in a marketplace or fintech company is a plus * Strong and relevant experience with advanced experimentation and ...

Ripple

Senior Staff Data Scientist

San Francisco, CA · On-site

You'll define the analytics vision, build the scientific frameworks the org uses to evaluate ... Experience with FinTech, payments, crypto, or blockchain data is a strong plus. * Advanced degree ...

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All JobsFintech Data Scientist JobsFintech Data Scientist Jobs in California

Fintech Data Scientist information

See California salary details

$37K

$121.1K

$193.9K

How much do fintech data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for fintech data scientist in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

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.

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 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.

Is data science good for fintech?

Data science is highly valuable for fintech, as it enables the development of advanced algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data scientists to analyze large datasets, use machine learning tools, and improve decision-making processes to stay competitive in the industry.

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 are the most commonly searched types of Fintech Data Scientist jobs in California?

The most popular types of Fintech Data Scientist jobs in California are:

What are popular job titles related to Fintech Data Scientist jobs in California?

For Fintech Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Fintech Data Scientist jobs in California look for?

The top searched job categories for Fintech Data Scientist jobs in California are:

What cities in California are hiring for Fintech Data Scientist jobs?

Cities in California with the most Fintech Data Scientist job openings:

Fintech Data Scientist jobs near you
Infographic showing various Fintech Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

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

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 7 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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