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Weekend Fintech Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

They are seeking a dedicated Data Scientist III to strengthen their analytics department, focusing ... Company : Snap Finance is a fintech company that specializes in providing consumer financing and ...

New

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 ...

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 ...

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 ...

Russell Tobin is seeking a Data Scientist for a client in the Travel industry. The role involves ... Preferred : • Experience supporting Treasury, Finance, FP&A, Payments, FinTech, Marketplace, or ...

Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. As a Senior Data Scientist, you will work closely with cross-functional teams to apply ...

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 ...

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

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 ...

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Weekend Fintech Data Scientist information

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$37.5K

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How much do weekend fintech data scientist jobs pay per year?

As of Jun 20, 2026, the average yearly pay for weekend 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 cities are hiring for Weekend Fintech Data Scientist jobs? Cities with the most Weekend 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 Weekend Fintech Data Scientist jobs? States with the most job openings for Weekend Fintech Data Scientist jobs include:
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 21 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