Data Analyst - Risk & Analytics *** Direct End Client ***

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

senior business data analyst
risk analytics
fintech jobs
SQL
Python
A/B testing
data visualization
Tableau
Quicksight
Qlik
compliance analytics
fraud detection
risk management
dashboard development
data science
financial services
experimentation
policy analytics
KPIs
OKRs
data storytelling
cross-functional collaboration
Analytics
Dashboard
Design Of Experiments
Data Quality
ROOT
Fraud
KPI
Regulatory Compliance
Data Manipulation

Job Details

Data Analyst Risk & Analytics (Fintech)

As a Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Analytics and Insights team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:

  • Develop intuitive dashboards and visualizations to monitor performance and guide decisions.
  • Design and execute A/B tests and data-driven experiments to optimize business outcomes.
  • Communicate insights clearly to technical and non-technical stakeholders, including executives.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional data to detect trends, anomalies, and risk patterns.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Build and maintain clean, reliable data pipelines for monitoring and experimentation.
  • Identify and resolve gaps in data quality, availability, and structure.

Qualifications:

  • 5+ years in analytics, data science, or decision strategy roles (Fintech or Financial Services preferred).
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

senior business data analyst, risk analytics, fintech jobs, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, fraud detection, risk management, dashboard development, data science, financial services, experimentation, policy analytics, KPIs, OKRs, data storytelling, cross-functional collaboration

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