Top Tech Jobs & Startup Jobs

Coordinate reinsurance treaty statement processing, ensuring accurate claims and premium booking. Investigate variances, support complex endorsements, maintain control evidence and underwriting procedures, and ensure regulatory, SLA, and KPI compliance. The role also identifies automation and process-improvement opportunities, analyzes bordereaux and treaty statements, liaises with brokers and underwriters, and supports operational projects.

Leads People operations through workforce analytics, process improvement, HR technology delivery, governance, data quality, automation, and annual HR programs. Develops dashboards and insights, improves HR workflows, oversees HR system administration and vendor delivery, supports compliance and audit readiness, and partners with regional People teams, IT, stakeholders, and vendors on operational and strategic initiatives.

Lead end-to-end Avaloq data migration projects, including legacy-system analysis, data mapping, migration strategy development, script creation and execution, data validation, quality assurance, and reconciliation. Collaborate independently with business and technical stakeholders while taking ownership across the full migration lifecycle.

Lead insurance transformation consulting projects from analysis through delivery, guiding client problem-solving, developing actionable solutions, mentoring consultants, conducting market analysis, and supporting business development. The role requires project leadership and business analysis experience in life or non-life insurance, especially Property & Casualty, with expertise in areas such as distribution, AI-led transformation, core systems, underwriting, claims, accounting, or process improvement.

Provides administrative and operational support for delegated underwriting authority activities, including binder onboarding and renewals, contract review, audit coordination, invoicing, data quality control, reporting, document preparation, and stakeholder communication. Maintains accurate records, supports compliance workflows, tracks pending tasks, and helps ensure deadlines and quality standards are met across cross-functional insurance operations.

Designs, implements, and supports banking solutions on the Avaloq platform. Responsibilities include analyzing business requirements, conducting design reviews and code audits, defining coding standards, designing Avaloq solutions, participating in client workshops, supporting integration and UAT, troubleshooting production issues, and maintaining platform modules. The role collaborates with clients, developers, and international cross-functional teams while providing expert guidance across Avaloq functional and technical capabilities.

Develop and customize the Avaloq Banking Suite through parameterization, software changes, unit testing, and solution design. Gather requirements from business stakeholders, map processes, define project scope, and implement solutions using Avaloq interfaces and customized functionality. The role requires knowledge of wealth management and investment banking products, Oracle databases, PL/SQL, requirements engineering, and independent delivery of complex solutions. Candidates should communicate effectively in English and have at least two years of Avaloq development experience.

Designs, builds, and optimizes scalable data pipelines, ETL/ELT workflows, data models, and cloud data infrastructure for financial services clients. Implements data mesh architectures, observability, lineage, compliance, CI/CD, and platform migrations. Collaborates with consultants, clients, business teams, QA, and support teams to deliver secure, reliable data solutions across multiple consulting engagements.

Design, build, test, and deploy AI-powered automation solutions using Microsoft Copilot Studio, Power Automate, scripting, APIs, and enterprise integrations. Translate business needs into measurable AI solutions, integrate systems including Microsoft 365, NetSuite, Salesforce, HiBob, and Power BI, and optimize outcomes. Promote organizational AI adoption through demonstrations, coaching, and knowledge sharing while evaluating emerging technologies and collaborating with international stakeholders.

Designs and maintains secure, scalable data and AI platforms, primarily on AWS. Responsibilities include managing Databricks, Kubernetes, CI/CD and GitOps workflows, implementing infrastructure as code with Terraform and Ansible, automating deployments, configuring IAM and cloud security controls, and monitoring performance with Datadog and CloudWatch. The role also establishes governance and compliance standards, optimizes cloud costs and reliability, and provides subject-matter expertise for complex cloud, AI, and data platform issues.