Consultant, Risk Solutions Services at Visa

Bellevue, Washington, United States

Visa Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Financial Services, TechnologyIndustries

Requirements

  • 5 or more years of relevant work experience with a Bachelor's Degree, or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD), or 0 years of work experience with a PhD
  • Preferred: 6 or more years of work experience with a Bachelor's Degree, or 4 or more years of relevant experience with an Advanced Degree, or up to 3 years of relevant experience with a PhD
  • Ability to work in a hybrid position with expectation of days in the office (confirmed by Hiring Manager)
  • Willingness to travel 5-10% of the time
  • Ability to sit and stand at a desk, communicate in person and by telephone, and operate standard office equipment such as telephones and computers
  • No sponsorship/immigration support available (no H1B, OPT, CPT or other)

Responsibilities

  • Deliver clear, concise, and tailored communications to internal and external stakeholders; present complex data and recommendations in accessible formats
  • Build and foster strategic partnerships with clients, understand their unique business needs, and provide consultative guidance to support adoption of Visa products and risk management solutions
  • Drive client engagement by leveraging automation, GenAI, machine learning, and regular portfolio updates; ensure seamless delivery and integration of solutions
  • Utilize advanced data analysis and reporting tools to identify trends, align KPIs with Visa objectives, and generate actionable insights; continuously enhance automation capabilities
  • Stay current on payment industry trends and competitive landscape; share insights with clients, provide education on payment systems, and adapt solutions to address market changes and client needs
  • Help Visa clients manage fraud by analyzing data for emerging trends, developing strategies to mitigate risk, and collaborating with clients to implement these strategies using Visa and industry tools
  • Maximize client engagement through automation, GenAI, and machine learning while effectively communicating portfolio updates and industry insights

Skills

data analysis
GenAI
machine learning
automation
risk management
fraud analysis
consulting
presentation
reporting tools

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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