BayOne Solutions
Risk Data Analyst V
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Risk Data Analyst V position based in San Jose, CA, on a contract for 3 days/week. Pay ranges from $50-75/hr. Requires 8+ years of data experience, strong SQL skills, and proficiency in Tableau; risk experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Jose, CA
-
🧠 - Skills detailed
#Tableau #ML (Machine Learning) #SQL (Structured Query Language) #Data Analysis #Python #Monitoring
Role description
Job Title: Risk Analytics Specialist
Location: San Jose, CA (3 days/week)
Pay rate- $50-75/hr on W2. (NO C2C)
Position- 1
Position Type- Contract
Interview- 2 Rounds
Key Responsibilities
• The Buyer Risk team is a data-driven unit focused on managing transaction risk in an eCommerce/FinTech environment.
• The ideal candidate should have 8+ years of data experience with strong SQL skills, and while risk experience is preferred, strong data analytics background is essential.
• The role involves developing risk insights, implementing risk policies, and monitoring risk strategies through data analysis.
• Experience in fraud and payment risk is particularly valuable. The team maintains regular communication through daily stand-ups, weekly team meetings, and monthly deep-dive sessions.
• The position requires a bachelor's/master's degree in a quantitative field, and while Python and machine learning skills are advantageous, Tableau proficiency is mandatory.
• The interview process includes a 45-minute technical assessment focusing on business-impact data analysis and risk management capabilities.
Job Title: Risk Analytics Specialist
Location: San Jose, CA (3 days/week)
Pay rate- $50-75/hr on W2. (NO C2C)
Position- 1
Position Type- Contract
Interview- 2 Rounds
Key Responsibilities
• The Buyer Risk team is a data-driven unit focused on managing transaction risk in an eCommerce/FinTech environment.
• The ideal candidate should have 8+ years of data experience with strong SQL skills, and while risk experience is preferred, strong data analytics background is essential.
• The role involves developing risk insights, implementing risk policies, and monitoring risk strategies through data analysis.
• Experience in fraud and payment risk is particularly valuable. The team maintains regular communication through daily stand-ups, weekly team meetings, and monthly deep-dive sessions.
• The position requires a bachelor's/master's degree in a quantitative field, and while Python and machine learning skills are advantageous, Tableau proficiency is mandatory.
• The interview process includes a 45-minute technical assessment focusing on business-impact data analysis and risk management capabilities.
