Lead moderately complex initiatives, delivering critical insights and decision strategies to support platforms utilized by Model Risk Management and Model Development Teams
Oversee process production, ensuring accurate data reconciliation and comprehensive documentation to maintain operational integrity
Participate actively in incident triage and resolution across platform services, ensuring minimal disruption and prompt remediation of issues
Maintain observability tooling to guarantee visibility into system performance and reliability, proactively identifying areas for improvement
Work closely with infrastructure teams, such as Google Cloud Platform support, to resolve platform-level issues and enhance overall system stability
Conduct thorough diagnostics and contribute to root cause analysis for platform incidents, driving effective solutions and future prevention
Collaborate and consult with peers, experienced managers, compliance, and technology teams to address modeling and production issues, working collectively to achieve analytic and reporting objectives
Partner with cross-enterprise risk teams to develop common model risk management strategies, promoting organizational alignment and consistency
Design and implement enhancements for infrastructure solutions that support model validation and model development, ensuring robust and scalable platforms
Apply a solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
Lead projects and teams, providing mentorship and guidance to less experienced staff to foster professional growth and development

Requirements

5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Experience with Google Cloud Platform (Compute, IAM, Storage, Network, Monitoring) and Red Hat OpenShift (Container, Orchestration, pods, operator, CI/CD Pipelines)
Experience supporting or integrating EPLX (or other enterprise platforms)
Familiarity with automation and infrastructure-as-code tools
Intermediate to advanced coding ability using Python, R, or other open-source programming languages as well as data processing using SQL, pandas, PySpark, etc.
Demonstrated ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Demonstrated ability to be flexible and adjust plans quickly to meet changing business needs
Demonstrated ability to quickly learn business operations and processes
Demonstrated ability to take initiative, identify opportunities, and implement change
Experience in developing partnerships and collaborating with diverse team members representing diverse functional areas
Good understanding of modeling concepts, familiarity with model implementation and production, and model governance
Experience with risk management concepts, audit, and controls
Understanding of key regulatory compliance risk components, including experience driving consistency and quality across all aspects of a risk function, including a solid understanding of process controls
Strong conceptual and quantitative problem-solving skills
Ability to effectively manage multiple assignments with challenging timelines
Excellent verbal, written, and interpersonal communication skills.

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Risk AnalyticsGoogle Cloud PlatformRed Hat OpenShiftPythonRSQLpandasPySparkautomation toolsinfrastructure-as-code

Soft Skills

problem-solvingflexibilityinitiativecollaborationcommunicationmentorshipnegotiationadaptabilityleadershiporganizational alignment