About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Key Accountabilities and Objectives:
- The Consultant manages a portfolio of client engagements across acceptance and issuing use cases, applying practical risk strategies to reduce fraud, improve authorization performance, and support business growth.
- Working across multiple engagements, the Consultant analyzes transaction and performance data, identifies risk trends and optimization opportunities, and translates insights into actionable recommendations. The role partners closely with client teams and internal stakeholders to drive ongoing solution optimization and managed service delivery.
Key Responsibilities:
- Manage a portfolio of client engagements across acceptance and issuing use cases, serving as a trusted advisor on payment risk strategy, fraud mitigation, and authorization optimization.
- Conduct in-depth analysis of transaction data, fraud patterns, and authorization performance using SQL, Python, and Visa's proprietary analytics platforms to identify risks, trends, and actionable optimization opportunities.
- Configure, monitor, and optimize Visa risk solutions — including CyberSource Decision Manager and Featurespace aligned with each client's business objectives and risk appetite.
- Develop and deliver data-driven recommendations through client-facing presentations, performance reports, and strategy reviews, translating complex analytical findings into clear, actionable insights.
- Drive continuous improvement across managed service engagements by tracking KPIs (e.g., fraud rates, false positive rates, approval rates), conducting periodic performance reviews, and proactively identifying enhancement opportunities.
- Partner with product, analytics, and cross-functional teams to ensure seamless client delivery, escalate emerging risks, and contribute to the evolution of Visa's managed service capabilities — including the exploration of Generative AI-enabled workflows for analysis and reporting.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Passion for helping clients grow their business while managing payment-related risk.
Strong written and verbal communication skills in Russian and English, with the ability to explain analytical findings and recommendations clearly to clients and internal stakeholders.
Relevant experience in payments, fraud/risk management, consulting, analytics, or a related field. Strong analytical skills and hands-on experience working with large datasets using Tableau and Power BI.
Proficient in SQL— including complex queries with JOINs, window functions — and experience in Python for data analysis and manipulation (e.g., Pandas, NumPy, data visualization libraries).
Solid understanding of machine learning principles and risk analytics, with hands-on experience applying ML techniques (e.g., classification, anomaly detection) to real-world fraud or risk use cases. Strong structured problem-solving skills.
Working knowledge of Generative AI and LLM concepts, with the ability to identify practical and responsible ways to leverage AI tools to improve analysis efficiency, automate reporting workflows, and enhance problem-solving capabilities.
Ability to translate data and analysis into clear, actionable recommendations. Ability to manage multiple priorities and contribute effectively in a fast-paced, collaborative environment. Demonstrated client focus, collaboration, accountability, and continuous improvement mindset.
Bachelor’s degree or above, preferably in Computer Science, Mathematics, Statistics, Engineering, Economics, or a related field.
Minimum of 5 years’ relevant experience in payments, fraud/risk management, consulting, analytics, or related client-facing problem-solving roles.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.