Senior Risk Analyst - Enterprise Risk Management
DeelSalary not specified
Full Time
Senior (5 to 8 years)
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 relevant work experience with a Bachelor’s Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- Demonstrated expertise in the payment industry, particularly fraud management
- Experience collaborating on enterprise-wide products, projects, or programs
- Experience deriving actionable insights from complex data analysis and reporting
- Experience delivering professional services and solutions, including automation, GenAI or machine learning
- Proficiency in Microsoft 365 (Office) and data visualization/presentation tools
- Exceptional presentation, consultative, and communication skills
- Experience implementing automation, GenAI, and/or machine learning solutions in a payment or fraud context
- Advanced skills in data analytics and visualization platforms
- Demonstrated ability to educate others on payment systems and fraud trends, and adapt strategies based on industry knowledge
- Proven success in building and maintaining strategic client relationships in a consulting environment
Responsibilities
- Deliver clear, concise, and tailored communications to internal and external stakeholders
- Present complex data and recommendations in accessible formats, ensuring understanding and actionability for clients and partners
- Build and foster strategic partnerships with clients, understanding their unique business needs
- Provide consultative guidance that supports 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, prioritizing client satisfaction and operational efficiency
- Utilize advanced data analysis and reporting tools to identify trends, align KPIs with Visa objectives, and generate actionable insights for clients
- Continuously enhance automation capabilities for improved reporting
- 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
Skills
data analysis
GenAI
machine learning
automation
risk management
fraud analysis
consulting
presentation skills
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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