Sr. Analyst, Solutions Management at Visa

Job Description

• The Sr. Analyst, Solutions Management will help Visa clients manage the risk of accepting payments online. This will include analyzing order data tidentify emerging fraud trends, developing strategies tmitigate these trends, and working closely with Visa’s clients timplement these strategies using a combination of Visa and industry tools.

Essential Functions and Responsibilities

Consulting Expertise

• Drives client acceptance by leveraging relationships and strategies that align with Risk Solution Services goals, automation, and retention objectives
• Regularly discusses and pursues client goals, demonstrating an understanding in clients’ evolving business strategies
• Continually builds rapport with clients and the Visa account teams tpromote retention and stay ahead of competitive risk
• Anticipates fluctuations and proactively identifies anomalies with business relationships
• Is an early adopter of complementary Visa products and offerings and is proactive in learning how tleverage updates and enhancements for Visa and client success
• Advocates productively on behalf of the client about product feedback and enhancement requests

Analysis

• Uses Business Intelligence tools tcontinually highlight client return on investment, aligning acceptance and fraud KPIs with Risk Solution Services objectives
• Efficiently adheres tclients' contractual reporting requirements
• Contributes tthe continual enhancement of analytical tools
• Works with BI team tenhance current and future reporting capabilities

Solutions Delivery

• Optimizes client acceptance through increased automation, the use of machine-learning models, efficient use of manual review, and reduced reliance on rules
• Maintains working knowledge of Visa and partner integrations, order and technical flow, and support resources
• Participates in projects and events that advance Risk Solution Services and Visa success
• Identifies and influences clients and internal business partners texplore Risk Solution Services and complementary Visa product offerings
• Remains proficient in Visa and partner integrations, order and technical flow, and support resources
• Understands how client strategies and risk configurations potentially impact Visa revenue
• Evangelizes the value of Risk Solution Services and Managed Services by participating in pre-sale and proof of concept engagements
• Embodies industry best practices
• Manages projects or processes and provides guidance tcolleagues

Communication and Presentation Skills

• Communicates independently, professionally, succinctly, and with relevance based on audience and topic
• Collaborates consistently with internal partners on the status of portfolio
• Shares efficiencies and best practices with colleagues
• Provides appropriate detail and can confidently communicate at the executive level
• Influences others within Risk Solution Services regarding practices, procedures, and policies

Industry Knowledge

• Builds industry knowledge through internal and external resources
• Proactively discusses industry trends and innovations and educates clients on the basics of how payment ecosystems work
• Understands regional risk regulations
• Remains current on global competitive landscape
• Confidently consults clients on how payment ecosystems work
• Uses knowledge of competitive landscape tshape solutions deliver

​This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications
Basic Qualifications

• 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Relevant work experience:

• Working in eCommerce payment industry
• Collaborating on and with enterprise-wide products, projects, and programs
• Deriving insights and action items through analysis
• Providing Solutions Delivery/professional services
• Proficiency in Microsoft 365 (Office)
• Exceptional presentation, consultative, and communication skills
• Proficient in Python, Java, or another major programming language, with a focus on data analysis, machine learning, or algorithm development.
• Skilled in using SQL for data analysis.
• Hands-on experience in handling and mining large, diverse data sets.
• Demonstrated experience working with or fine-tuning machine learning models in fast-paced, real-time prediction environments.

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD