Top Tech Jobs & Startup Jobs

Performs financial forecasting, performance analysis, modeling, reporting, and operational metrics tracking for senior leadership. Leads monthly performance reviews, analyzes trends and variances, develops automated Excel-based reporting tools, and recommends business improvements. Partners with accounting and stakeholders across pricing, reserving, underwriting, and claims while supporting financial decision-making and ad hoc analysis.

Actuarial Pricing Manager responsible for developing and maintaining technical pricing strategies for Global Corporate and Specialty property and casualty products. The role applies actuarial analysis, builds pricing tools and infrastructure, supports multinational risk pricing, presents portfolio insights, and guides business stakeholders. It also emphasizes risk mitigation, documentation, technical pricing standards, collaboration with UK pricing teams, and clear communication of complex concepts. The position requires substantial P&C and commercial pricing experience plus ACAS or FCAS designation.

Perform daily investment data controls, reconciliations, data-quality reviews, and audit support using Clearwater and Excel. Collaborate with internal and external stakeholders, database providers, and auditors while supporting finance and data projects. The role requires strong analytical skills, attention to detail, investment interest, and availability three to four days per week during a six-month paid internship.

Conduct file audits and reinspections for auto damage claims to ensure compliance with internal guidelines and industry standards; analyze data to identify trends and training needs; implement corrective actions with cross-functional teams; develop QA tools and documentation; provide coaching and feedback to improve quality and operational efficiency.

Provide inbound telephony support to customers and financial advisers across investment bonds, pension savings, and platform investments. Build rapport, identify customer needs, explain complex products, resolve queries, handle difficult conversations, and deliver personalized service. The role includes extensive training and coaching, collaboration with colleagues, and use of digital methods to simplify customer interactions.

Leads Personal Insurance’s strategic change, transformation, operational effectiveness, AI enablement, workforce evolution, and organizational effectiveness agenda. Oversees change portfolios, modernization programs, process improvement, governance, business readiness, risk management, vendor investments, and adoption. Partners across technology, data science, HR, underwriting, pricing, operations, and distribution while developing leadership capability and future-ready organizational structures.

Design, build, and operationalize enterprise data solutions across AWS and Snowflake. Develop Python and DBT ETL/ELT pipelines, integrate diverse data sources, and manage Apache Airflow workflows. Contribute to data warehouses, marts, governance, catalogs, and quality initiatives while applying modern and legacy data platform expertise in an agile environment.

The Actuarial Analyst will analyze insurance claim reserve adequacy using standard actuarial methods, advanced reserving models, and machine learning. Responsibilities include supporting quarterly and year-end valuation reporting, maintaining monitoring reports, providing reserving insights into financial performance, partnering across teams, and improving processes. The role requires actuarial education, at least one year of experience, active pursuit of actuarial exams, strong analytical and communication skills, and proficiency in Excel and VBA.

Analyze claim reserve adequacy using actuarial methods and advanced machine learning models in Python. Support quarterly reserve committee and year-end valuation reporting, maintain internal and external monitoring reports, and provide financial performance insights from a reserving perspective. Partner with cross-functional teams to assess portfolio impacts and improve processes. The role requires actuarial exam progression, strong analytical and communication skills, and proficiency in Excel and VBA.

Build and support machine learning pipelines and services across cloud and on-premise environments. Deploy, monitor, optimize, version, and retrain models using MLOps practices. Collaborate with ML engineers, data scientists, and product teams while working with AWS, Snowflake, data processing tools, and Linux systems. Contribute to scalable workflows, data privacy and compliance, code reviews, and knowledge sharing.