

Fraud & Risk Analyst II
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Fraud & Risk Analyst II for a 6-month contract in Mountain View, CA, offering a hybrid schedule. Requires 5-7 years of fraud analysis experience, proficiency in Python and SQL, and familiarity with Fintech and big data technologies.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 8, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Mountain View, CA
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π§ - Skills detailed
#Big Data #SQL (Structured Query Language) #Customer Segmentation #Hadoop #Strategy #Data Engineering #Data Science #Python #Visualization #Compliance #Forecasting
Role description
Our client, a leader in financial software is hiring a Fraud & Risk Analyst to join their team in Mountain View, CA! You will have the opportunity to work a hybrid schedule (3 days onsite / 2 days remote).
Contract Duration: 6 months to start (possibility to extend)
Required Skills And Experience
β’ Strong business acumen and exceptional analytical ability, with at least 5-7 years of relevant experience in fraud analysis, prevention, and detection. Preferred experience with the Fintech
β’ Working knowledge of the fundamentals of risk controls, including fraud detection, loss forecasting, and disputes/collections Demonstrated experience in using data-driven insights to solve business problems.
β’ Proficient in statistical analysis tools like Python, SQL and data visualization tools.
Preferred Skills
β’ Preferred experience with the Fintech
β’ Familiarity with big data technologies such as Hive, Hadoop, and related concepts
What You Will Be Doing
β’ Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud and compliance risk strategies/policies, and translate into actionable business plans
β’ Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
β’ Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
β’ Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
Posted By: VMS Sourcing
Our client, a leader in financial software is hiring a Fraud & Risk Analyst to join their team in Mountain View, CA! You will have the opportunity to work a hybrid schedule (3 days onsite / 2 days remote).
Contract Duration: 6 months to start (possibility to extend)
Required Skills And Experience
β’ Strong business acumen and exceptional analytical ability, with at least 5-7 years of relevant experience in fraud analysis, prevention, and detection. Preferred experience with the Fintech
β’ Working knowledge of the fundamentals of risk controls, including fraud detection, loss forecasting, and disputes/collections Demonstrated experience in using data-driven insights to solve business problems.
β’ Proficient in statistical analysis tools like Python, SQL and data visualization tools.
Preferred Skills
β’ Preferred experience with the Fintech
β’ Familiarity with big data technologies such as Hive, Hadoop, and related concepts
What You Will Be Doing
β’ Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud and compliance risk strategies/policies, and translate into actionable business plans
β’ Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
β’ Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
β’ Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
Posted By: VMS Sourcing