Sr. Analyst, Solutions Management

Visa Visa · Fintech · KZ - Almaty, Kazakhstan

This role focuses on optimizing client acceptance in payment transactions by leveraging machine learning models, automation, and efficient manual review processes. It involves analyzing fraud data, developing strategies for fraud detection, and contributing to the enhancement of analytical tools and reporting capabilities. The position requires strong technical skills in SQL, Python, and BI tools, along with expertise in fraud risk mitigation within the financial services industry.

What you'd actually do

  1. Optimizes client acceptance through increased automation, the use of machine-learning models, efficient use of manual review, and reduced reliance on rules
  2. Uses Business Intelligence tools to continually highlight client return on investment, aligning acceptance and fraud KPIs with Risk Solution Services objectives
  3. Proficient in SQL, Python, Java, or similar programming languages, with a focus on data analysis, machine learning, and algorithm development.
  4. Hands-on experience with fraud detection systems, rule management, and real-time transaction monitoring (e.g., SAS Fraud Management, FICO Falcon, VRM, VCAS).
  5. Skilled in using BI tools (Power BI, SAP BO, QlikView, Excel) for fraud data analysis and reporting.

Skills

Required

  • SQL
  • Python
  • Java
  • data analysis
  • machine learning
  • algorithm development
  • BI tools (Power BI, SAP BO, QlikView, Excel)
  • fraud data analysis
  • reporting
  • mining and managing large, diverse datasets
  • payment risk mitigation
  • fraud detection strategy optimization
  • fraud analytics
  • fraud detection systems
  • rule management
  • real-time transaction monitoring

Nice to have

  • SAS Fraud Management
  • FICO Falcon
  • VRM
  • VCAS

What the JD emphasized

  • Fraud Risk Expertise
  • Fraud detection strategy optimization
  • fraud analytics
  • fraud detection systems
  • real-time transaction monitoring
  • data analysis
  • machine learning
  • algorithm development

Other signals

  • Uses machine-learning models
  • Fraud detection strategy optimization
  • Fraud analytics
  • Fraud detection systems
  • real-time transaction monitoring
  • data analysis
  • machine learning
  • algorithm development