

Senior Risk and Fraud Analyst (Data Analyst/ Tableau)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Risk and Fraud Analyst based in Mountain View, CA, for a 6-month contract at a pay rate of "$X/hour." Requires 4+ years in Risk Analytics, advanced SQL/Python skills, and expertise in Tableau/QuickSight.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
440
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ποΈ - Date discovered
July 22, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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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
#SQL (Structured Query Language) #Monitoring #Data Analysis #Visualization #Strategy #Data Strategy #Storytelling #Datasets #Stories #Python #Data Engineering #Tableau #Data Storytelling
Role description
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π¨ Weβre Hiring: Senior Risk and Fraud Analyst
π Location: Mountain View, CA (Onsite 3β4 Days/Week)
π Type: FinTech | Risk Analytics
Join a high-impact team where data, strategy, and innovation converge to protect users and drive smarter decisions in risk operations. We are looking for a Risk and Fraud Analyst to help shape our risk mitigation strategies across payments, payroll, and capital loan products.
π Key Responsibilities:
β’ Analyze large datasets to uncover risk patterns and translate insights into business strategies.
β’ Develop impactful visualizations and dashboards (Tableau/QuickSight) to tell compelling data stories.
β’ Design and monitor experiments to evaluate and improve risk operational processes.
β’ Build and track KPIs to monitor the effectiveness of fraud and risk management efforts.
β’ Partner with product, engineering, and data teams to develop and implement risk solutions.
β’ Enhance risk data infrastructure by collaborating with data engineering teams.
β’ Support strategic decision-making through data-driven insights, tradeoff analysis, and scenario modeling.
β’ Balance short- and long-term strategic goals across multiple concurrent projects.
β
What You Bring:
β’ 4+ years of experience in Risk Analytics, preferably in Financial Services or FinTech.
β’ Advanced SQL and Python skills to build robust analytical solutions from scratch.
β’ Strong data storytelling and visualization abilities (Tableau, QuickSight).
β’ Experience working with KPI/OKR frameworks and performance monitoring.
β’ Excellent verbal and written communication skills.
β’ A team-first mindset, a strong sense of ownership, and a drive for innovation.
β’ Bachelorβs degree in a quantitative field (Economics, Math, CS, etc.); MBA or Masterβs is a plus.