Wells Fargo
Wells Fargo
Wells Fargo ir starptautisks finanšu pakalpojumu uzņēmums, kas darbojas banku pakalpojumu un saistīto finanšu produktu jomā. Tā personāla atlases iespējas ietver amatus karjeras sākumposmā esošiem profesionāļiem, pieredzējušiem speciālistiem un vadītājiem, uzsverot sadarbību, inovācijas un iekļaujošu darba kultūru. Uzņēmums arī izceļ attīstības programmas, kas paredzētas karjeras izaugsmes atbalstam plašajā darbinieku lokā.

Senior Risk Analytics Consultant, Merchant Services

Wells Fargo seeks a senior risk analytics consultant to use AI, machine learning, and data analysis to evaluate merchant credit and fraud risk. The role develops risk models, reporting, and controls for payments services.

Apraksts

  • Apply data, advanced analytics, artificial intelligence, and machine learning to evaluate credit and fraud exposure
  • Improve risk reporting to support business growth while protecting the payments ecosystem
  • Assess merchant data for credit and fraud underwriting and ongoing monitoring
  • Detect emerging fraud patterns and changing risk trends through advanced analytics
  • Use machine learning, statistical methods, and predictive analytics to strengthen risk assessment
  • Create and enhance risk-scoring models that automate decisions and reinforce controls
  • Lead or contribute to moderately complex risk analytics initiatives
  • Provide analytical findings and decision strategies through reporting
  • Support large-scale risk analytics planning activities
  • Evaluate data aggregation, forecasting, reporting, and programming models
  • Oversee production processes, data reconciliation, and model documentation under policy governance
  • Address data, production, business modeling, and team issues affecting risk analytics deliverables
  • Work with peers, senior managers, compliance, and technology teams on modeling, forecasting, and production matters
  • Lead projects and teams while coaching less experienced colleagues
  • Collaborate with enterprise risk analysts to establish shared modeling approaches

Prasības

  • At least four years of risk analytics experience, or equivalent qualifications gained through work, training, military service, or education
  • Three years of experience in payments or merchant services
  • Strong background in data analytics, risk management, and reporting within payments or financial services
  • Proficiency with AI and machine learning, SQL, Python, R, or comparable data analysis tools
  • Knowledge of merchant services, credit risk, fraud risk, and payments risk mitigation
  • Experience with risk modeling, machine learning, or predictive analytics is preferred
  • Strong communication and stakeholder management abilities
  • Ability to balance business expansion with effective risk mitigation
  • Ability to work from an approved location listed in the job posting
  • Compliance with applicable outside-activity and personal-investment policies
  • Third-party recording is not permitted unless authorized by Wells Fargo
  • Candidates must accurately represent their own experience throughout recruiting and hiring

Priekšrocības

  • Equal opportunity employment
  • Medical accommodations are available during the application or interview process
  • Drug-free workplace

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