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Develop and implement quantitative models, machine learning algorithms, and financial data pipelines. Responsibilities include extracting and transforming data, conducting statistical analysis, building APIs, backtesting and validating models, optimizing performance, and integrating solutions into IT systems. The role also requires collaboration with quantitative analysts and stakeholders, along with communicating model results and technical findings.

Develop quantitative models and machine learning algorithms for financial risk management. Responsibilities include extracting and transforming financial data, building data pipelines and APIs, conducting statistical analysis, translating theoretical models into production code, backtesting and validating models, optimizing performance, and communicating results to technical and business stakeholders.

Processes corporate action events for securities, including dividends, reorganizations, tax services, and reconciliations. Resolves exceptions and client inquiries, meets operational deadlines and quality benchmarks, maintains risk and control procedures, collaborates with stakeholders, supports process improvements, and trains junior team members. The role also participates in projects while managing competing priorities and escalating risks appropriately.

Support and enhance Oracle HCM Cloud across Payroll, Core HR, and Learning. Configure payroll elements, workflows, security, workforce structures, and learning programs; gather requirements; test and deploy enhancements; troubleshoot data, integration, reporting, and configuration issues; support payroll processing, compliance, reconciliations, quarterly releases, and production operations. Partner with HR, Payroll, Learning, Technology, and vendors while documenting solutions and improving processes.

Supports enterprise data governance and data risk management across business domains. Responsibilities include implementing governance policies, onboarding data assets, managing metadata and lineage, supporting governance tools, tracking KPIs, facilitating stakeholder sessions, translating business requirements, and coordinating risk and control assessments. The role also identifies data quality issues, monitors controls, documents remediation activities, and communicates governance progress, risks, and dependencies.

Supports cloud product enablement by gathering business and technical requirements, decomposing technical designs into workstreams, refining backlogs, facilitating stakeholder workshops, and maintaining service catalogs and training documentation. Partners with product owners, cloud engineers, architects, security teams, and delivery leads to drive cloud adoption, governance, compliance, troubleshooting, process improvement, and alignment with enterprise architecture and business objectives.

Own defined product and initiative components across AI tools, internal platforms, research pilots, and enablement capabilities. Translate objectives into requirements, user stories, backlogs, roadmaps, and success metrics. Collaborate with engineering, research, risk, legal, compliance, and business teams; support discovery, vendor evaluations, proofs of concept, and feasibility analysis. Prepare leadership materials, manage governance considerations, and help transition successful pilots into broader adoption or production.

Conducts cybersecurity, technology, operational resilience, and specialized risk assessments of third parties. Supports vendor onboarding, contract reviews, control-gap remediation, regulatory compliance, and third-party risk framework enhancements. Partners with Legal, Sourcing, Technology, Security, Resilience, and business stakeholders while advising on NYSDFS requirements, fourth-party risk, encryption key management, and software supply chain security.

Designs and maintains enterprise AWS infrastructure using Terraform and infrastructure-as-code practices. Builds reusable modules, cloud blueprints, CI/CD automation, security guardrails, state management, and self-service provisioning workflows. Troubleshoots deployments and establishes standards for governance, resiliency, tagging, cost optimization, and operational readiness while partnering with cloud, platform, security, application, and operations teams.

Designs and maintains enterprise AWS infrastructure using Terraform and infrastructure-as-code practices. Builds reusable modules, standardized cloud blueprints, secure provisioning workflows, CI/CD integrations, and self-service platform automation. Establishes state management, governance, security guardrails, resiliency, cost optimization, and operational standards while troubleshooting deployments across environments. Collaborates with platform, application, security, and operations teams to deliver scalable, compliant cloud capabilities.