Collaborate with product, compliance, finance, and data science teams to define scalable analytics ... or Fintech. * Advanced SQL skills and working knowledge of Python for data manipulation and ...
Collaborate with product, compliance, finance, and data science teams to define scalable analytics ... or Fintech. * Advanced SQL skills and working knowledge of Python for data manipulation and ...
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$190K - $262K/yr
The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in ...
Senior Data Scientist - Network Value
New York, NY · On-site
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Orlando, FL · On-site
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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 ...
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Orlando, FL · On-site
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San Mateo, CA · On-site
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Roseland, NJ · Remote
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Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... the fintech sector. * Assist in creating data visualizations and dashboards to effectively ...
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Roseland, NJ · Remote
$15.92 - $17/hr
Data Science and Analytics Intern Duration: 9 Weeks (15th June'26 - 14th Aug'26) Salary: $15.92 ... the fintech sector. * Assist in creating data visualizations and dashboards to effectively ...
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Fort Collins, CO · On-site
$102K - $146K/yr
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Fort Collins, CO · On-site
$102K - $146K/yr
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$102K - $146K/yr
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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 ...
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San Francisco, CA · On-site
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San Francisco, CA · On-site
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San Francisco, CA · On-site
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New York, NY · On-site
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New York, NY · On-site
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Senior Data Scientist - Investment Management Fintech Strategies (IMFS) Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. We partner with ...
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San Francisco, CA · On-site
$160K - $200K/yr
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San Francisco, CA · On-site
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Chicago, IL · Remote
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Chicago, IL · Remote
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Pleasanton, CA · On-site
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Data Scientist Intern
Pleasanton, CA · On-site
$30 - $35/hr
As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets ...
Intern Fintech Data Scientist information
See salary details
$46K - $64K
1% of jobs
$64K - $81.9K
2% of jobs
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
$46K
$165K
$243.5K
How much do intern fintech data scientist jobs pay per year?
What is the difference between Intern Fintech Data Scientist vs Intern Data Analyst?
| Aspect | Intern Fintech Data Scientist | Intern Data Analyst |
|---|---|---|
| Required Credentials | Basic programming, statistics, finance knowledge | Excel, SQL, basic analytics skills |
| Work Environment | Fintech startups, financial institutions | Various industries, including finance and tech |
| Employer & Industry Usage | Financial technology companies, banks | Broadly used across sectors |
| Common Search & Comparison Intent | Understanding roles, responsibilities, and skills | Clarifying job functions and expectations |
The Intern Fintech Data Scientist typically focuses on developing predictive models and analyzing financial data using advanced statistical and machine learning techniques within fintech companies. In contrast, the Intern Data Analyst primarily handles data collection, cleaning, and basic analysis to support business decisions across various industries. Both roles require foundational data skills, but the Data Scientist role involves more technical expertise in programming and modeling specific to fintech applications.
Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***
Projas Technologies, LLCMountain 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
About Projas Technologies
Sourced by ZipRecruiter
Company size
1 - 10 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2005