

Fraud & Risk Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fraud & Risk Analyst with a contract length of "unknown," offering a pay rate of "unknown." It is a hybrid position in Mountain View, CA, requiring 5–7 years of experience in fraud analysis within financial services or Fintech, proficiency in SQL and Python, and familiarity with big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Data Science #Visualization #Forecasting #BI (Business Intelligence) #Customer Segmentation #Monitoring #Strategy #SQL (Structured Query Language) #Big Data #Scala #Data Engineering #Microsoft Power BI #Tableau #Hadoop #Python #Compliance
Role description
Location: Hybrid (Mountain View, CA)
About the Role
Join one of the Fortune 100 Best Companies to Work For, where innovation meets purpose. We are seeking a Senior Risk Strategy Analyst to use advanced analytical techniques on massive-scale account and transaction data to build and optimize fraud and compliance risk strategies. Your work will directly impact the integrity and scalability of money movement offerings across our ecosystem.
What You’ll Do
• Use advanced analytical techniques to mine high-volume account and transactional data to build and optimize fraud and compliance risk strategies/policies, translating them into actionable business plans.
• Lead the full lifecycle of risk strategy and policy work: identifying opportunities, creating action plans, developing/testing policies, launching into production, and monitoring performance.
• Build deep subject matter expertise in various money movement risks, optimizing the balance between fraud prevention and business growth across the Intuit ecosystem.
• Collaborate cross-functionally with data scientists, risk operations, product, data engineering, and analytics teams to drive customer segmentation, develop innovative risk strategies, and conduct portfolio analysis.
What You’ll Bring
• 5–7 years of experience in fraud analysis, prevention, and detection within financial services or Fintech.
• Strong business acumen and exceptional analytical abilities.
• Solid working knowledge of risk controls, including fraud detection, loss forecasting, and disputes/collections.
• Proven track record of applying data-driven insights to solve complex business problems.
• Proficient in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with big data technologies such as Hive, Hadoop, and related tools is preferred.
.
Interview Process
• Round 1: 30-minute screening interview
• Round 2: 60-minute technical and behavioral interview
Location: Hybrid (Mountain View, CA)
About the Role
Join one of the Fortune 100 Best Companies to Work For, where innovation meets purpose. We are seeking a Senior Risk Strategy Analyst to use advanced analytical techniques on massive-scale account and transaction data to build and optimize fraud and compliance risk strategies. Your work will directly impact the integrity and scalability of money movement offerings across our ecosystem.
What You’ll Do
• Use advanced analytical techniques to mine high-volume account and transactional data to build and optimize fraud and compliance risk strategies/policies, translating them into actionable business plans.
• Lead the full lifecycle of risk strategy and policy work: identifying opportunities, creating action plans, developing/testing policies, launching into production, and monitoring performance.
• Build deep subject matter expertise in various money movement risks, optimizing the balance between fraud prevention and business growth across the Intuit ecosystem.
• Collaborate cross-functionally with data scientists, risk operations, product, data engineering, and analytics teams to drive customer segmentation, develop innovative risk strategies, and conduct portfolio analysis.
What You’ll Bring
• 5–7 years of experience in fraud analysis, prevention, and detection within financial services or Fintech.
• Strong business acumen and exceptional analytical abilities.
• Solid working knowledge of risk controls, including fraud detection, loss forecasting, and disputes/collections.
• Proven track record of applying data-driven insights to solve complex business problems.
• Proficient in SQL, Python, and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with big data technologies such as Hive, Hadoop, and related tools is preferred.
.
Interview Process
• Round 1: 30-minute screening interview
• Round 2: 60-minute technical and behavioral interview