Visa

1 week ago

Sr. Analyst, Solutions Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Drive client acceptance for Risk Solution Services by combining relationship strategy with data-driven analytics. Use BI tools to track ROI and align acceptance and fraud KPIs with program objectives, ensuring contractual reporting is met. Optimize solutions delivery through automation and machine-learning-based fraud approaches, partner integrations, and project support. Communicate insights professionally, influence internal stakeholders, and stay current on regional risk regulations and global competitive trends.

Location: Almaty

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Drive client acceptance by leveraging relationships and strategies aligned to Risk Solution Services goals, automation, and retention objectives.
•Use Business Intelligence tools to highlight client ROI and align acceptance and fraud KPIs with Risk Solution Services objectives, meeting contractual reporting requirements.
•Optimize solutions delivery by increasing automation, applying machine-learning models, and improving use of manual review and rule reduction.
•Maintain working knowledge of Visa and partner integrations, order and technical flow, and support resources to support delivery and continuous improvement.
•Communicate clearly with clients and internal teams, anticipate anomalies in business relationships, and advocate for product feedback and enhancements.

Key Requirements

•Bachelor’s degree in finance, business, economics, statistics, computer science, or a related field.
•Minimum 8 years of relevant professional experience, or at least 5 years with an advanced degree (Master’s, MBA, JD, or MD).
•Demonstrated experience in payment risk mitigation, fraud detection strategy optimization, and fraud analytics across banking, payments, or financial services.
•Hands-on experience with fraud detection systems, rule management, and real-time transaction monitoring (e.g., SAS Fraud Management, FICO Falcon, VRM, VCAS).
•Proficient in SQL, Python, Java, or similar languages, plus experience using BI tools (Power BI, SAP BO, QlikView, Excel) for fraud data analysis and reporting.

Experience:8+ yearsPaymentsBankingFraud analyticsFinancial services

Education:Bachelor's

Skills:CommunicationCollaborationProblem identificationStakeholder influenceProject guidance

Tech Stack:SQLPythonJavaMachine learningPower BISAP BOQlikViewExcelSAS Fraud ManagementFICO FalconVRMVCAS

Company Brief

Visa

Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Visa

1 week ago

Sr. Analyst, Solutions Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Almaty

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Drive client acceptance by leveraging relationships and strategies aligned to Risk Solution Services goals, automation, and retention objectives.
•Use Business Intelligence tools to highlight client ROI and align acceptance and fraud KPIs with Risk Solution Services objectives, meeting contractual reporting requirements.
•Optimize solutions delivery by increasing automation, applying machine-learning models, and improving use of manual review and rule reduction.
•Maintain working knowledge of Visa and partner integrations, order and technical flow, and support resources to support delivery and continuous improvement.
•Communicate clearly with clients and internal teams, anticipate anomalies in business relationships, and advocate for product feedback and enhancements.

Key Requirements

•Bachelor’s degree in finance, business, economics, statistics, computer science, or a related field.
•Minimum 8 years of relevant professional experience, or at least 5 years with an advanced degree (Master’s, MBA, JD, or MD).
•Demonstrated experience in payment risk mitigation, fraud detection strategy optimization, and fraud analytics across banking, payments, or financial services.
•Hands-on experience with fraud detection systems, rule management, and real-time transaction monitoring (e.g., SAS Fraud Management, FICO Falcon, VRM, VCAS).
•Proficient in SQL, Python, Java, or similar languages, plus experience using BI tools (Power BI, SAP BO, QlikView, Excel) for fraud data analysis and reporting.

Experience:8+ yearsPaymentsBankingFraud analyticsFinancial services

Education:Bachelor's

Skills:CommunicationCollaborationProblem identificationStakeholder influenceProject guidance

Tech Stack:SQLPythonJavaMachine learningPower BISAP BOQlikViewExcelSAS Fraud ManagementFICO FalconVRMVCAS

Company Brief

Visa

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1958

Glassdoor: 3.8

Website LinkedIn Glassdoor