

Saxon Global
Finance Data & Risk Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Finance Data & Risk Analyst on a 12-month contract, remote in LATAM, offering competitive pay. Requires 1-3+ years in finance/risk analytics, strong Python and SQL skills, and fluency in Spanish and English.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
120
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🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #"ETL (Extract #Transform #Load)" #Data Management #SQL (Structured Query Language) #Logistic Regression #Deployment #R #Process Automation #Statistics #Automation #Regression #Data Quality #Data Extraction #BI (Business Intelligence)
Role description
Title: Finance Data & Risk Analyst
Location: Remote - LATAM
Duration: 12 Months Contract
Description:
• We are looking for a candidate who supports Finance and Risk analytics workstreams with a mix of quantitative analysis, Murex risk/VaR knowledge, automation, and data management. The ideal candidate can work in a banking environment, automate manual processes, validate outputs, and deliver clear reporting and insights to stakeholders.
Key Responsibilities:
• Support Murex risk analytics initiatives (including Full Reval) and related validation work.
• Perform VaR-related analysis (confidence levels, correlation analysis, outlier/scenario checks, analytical comparisons).
• Build and enhance automation for data extraction, data management workflows, and quality checks to reduce manual effort and errors.
• Reconstruct and maintain price curves and support implementation across multiple systems.
• Develop and maintain BI dashboards and KPI reporting for business visibility and decision support.
• Provide ad-hoc analytics (segmentation/churn-style analyses, scoring models, predictive analytics) as needed.
• Translate business questions into analysis, document approach/results, and communicate findings clearly to stakeholders.
Required Qualifications (Must-Haves):
• 1–3+ years (or equivalent) experience in finance/risk analytics, quant analytics, or data analytics in financial services.
• Strong Python and SQL skills (R is a plus).
• Solid quantitative foundation (statistics/econometrics); comfortable with regression and analytical validation.
• Experience with process automation and data quality validation.
• Spanish (native) and English (fluent).
• Strong Excel / MS Office.
Preferred / Nice-to-Haves
• Hands-on exposure to Murex and Full Reval / risk engines.
• Experience with price curve construction and cross-system deployment.
• Experience building KPI dashboards / BI reporting.
• Logistic regression scoring models, predictive analytics, and segmentation/churn analysis.
Title: Finance Data & Risk Analyst
Location: Remote - LATAM
Duration: 12 Months Contract
Description:
• We are looking for a candidate who supports Finance and Risk analytics workstreams with a mix of quantitative analysis, Murex risk/VaR knowledge, automation, and data management. The ideal candidate can work in a banking environment, automate manual processes, validate outputs, and deliver clear reporting and insights to stakeholders.
Key Responsibilities:
• Support Murex risk analytics initiatives (including Full Reval) and related validation work.
• Perform VaR-related analysis (confidence levels, correlation analysis, outlier/scenario checks, analytical comparisons).
• Build and enhance automation for data extraction, data management workflows, and quality checks to reduce manual effort and errors.
• Reconstruct and maintain price curves and support implementation across multiple systems.
• Develop and maintain BI dashboards and KPI reporting for business visibility and decision support.
• Provide ad-hoc analytics (segmentation/churn-style analyses, scoring models, predictive analytics) as needed.
• Translate business questions into analysis, document approach/results, and communicate findings clearly to stakeholders.
Required Qualifications (Must-Haves):
• 1–3+ years (or equivalent) experience in finance/risk analytics, quant analytics, or data analytics in financial services.
• Strong Python and SQL skills (R is a plus).
• Solid quantitative foundation (statistics/econometrics); comfortable with regression and analytical validation.
• Experience with process automation and data quality validation.
• Spanish (native) and English (fluent).
• Strong Excel / MS Office.
Preferred / Nice-to-Haves
• Hands-on exposure to Murex and Full Reval / risk engines.
• Experience with price curve construction and cross-system deployment.
• Experience building KPI dashboards / BI reporting.
• Logistic regression scoring models, predictive analytics, and segmentation/churn analysis.






