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Senior Risk Analytics Consultant, Merchant Services
Wells Fargo. Leverage data, advanced analytics, Artificial Intelligence, and Machine Learning to assess credit and fraud risks .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Risk Analytics, leveraging advanced analytics, Artificial Intelligence, and Machine Learning to assess credit and fraud risks while enhancing risk reporting and supporting business growth in the payments ecosystem.
Highest-signal resume keywords
Risk Analytics ExperiencePayments Industry ExperienceData Analytics ProficiencyAI/ML ProficiencyRisk Management Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Risk ModelingPredictive AnalyticsData AnalysisStatistical TechniquesMachine LearningSQLPythonRRisk Scoring ModelsData Reconciliation
Soft Skills
Excellent CommunicationStakeholder ManagementTeam LeadershipMentoring
Industry Keywords
Credit RiskFraud RiskPayments Risk MitigationMerchant ServicesRisk Reporting
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Leverage data, advanced analytics, Artificial Intelligence, and Machine Learning to assess credit and fraud risks
- Enhance risk reporting and support business growth while safeguarding the payments ecosystem
- Analyze merchant data for credit risk and fraud risk underwriting and ongoing monitoring
- Identify emerging fraud patterns and risk trends using advanced analytics
- Utilize machine learning models, statistical techniques, and predictive analytics to improve risk assessment
- Develop and refine risk scoring models to automate decision-making and improve risk controls
- Lead or participate in moderately complex Risk Analytics initiatives
- Deliver insights and decision strategies within analytics and reporting
- Contribute to large-scale planning related to Risk Analytics
- Review and analyze data aggregation, forecasting, reporting, and programming models
- Manage process production, data reconciliation, and model documentation in alignment with policy governance
- Resolve data, production, business modeling, and team issues to meet Risk Analytics deliverables
- Collaborate with peers, experienced managers, compliance, and technology on modeling, forecasting, and production issues
- Lead projects and teams and mentor less experienced staff
- Partner with cross-enterprise risk analysts to develop common modeling strategies
Requirements
What you’ll need- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
- 3 years of payments industry/merchant services experience
- Strong experience in data analytics, risk management, and reporting in a payments or financial services environment
- Proficiency in AI/ML, SQL, Python, R, or other data analysis tools
- Knowledge of merchant services, credit risk, fraud risk, and payments risk mitigation strategies
- Experience with risk modeling, machine learning, or predictive analytics is a plus
- Excellent communication and stakeholder management skills
- Ability to balance business growth with effective risk mitigation strategies
- Ability to work at one of the approved locations in the job posting
- Compliance with applicable outside activities and personal investing policies
- Third-party recordings are prohibited unless authorized by Wells Fargo
- Candidates must directly represent their own experiences during the recruiting and hiring process
Benefits
Comp & perks- Equal opportunity employment
- Medical accommodation available during the application or interview process
- Drug-free workplace