• Lead client and stakeholder data implementation projects, ensuring successful data integration and analytics delivery • Serve as a thought partner to senior leadership, including the COO, CMO, Chief Nursing, and clinical leadership • Mentor data analysts and data product developers • Apply advanced analytics to identify performance trends, cost drivers, and quality improvement opportunities • Develop interactive dashboards and reports (Power BI preferred) • Define and prioritize the data product roadmap • Collaborate with cross-functional teams to translate business needs into data products • Foster a culture of data literacy and evidence-based decision-making across the organization • Act as a liaison between technical teams and non-technical stakeholders

• Own our key metrics (conversion, LTV, CAC, payback, refund rate) and make sure they’re defined and calculated in a way everyone trusts • Run A/B tests end-to-end, from hypothesis to “here’s what we should do about it” • Build a LTV model using early signals and sensible assumptions • Dig into pricing experiments — help us understand the trade-offs between conversion, price, and long-term value • Analyze our web onboarding funnel and tell us where the biggest wins are hiding • Find non-obvious growth levers that move us toward sustainable unit economics • Lean on AI tools (Claude, Cursor, Copilot — whatever works for you) to move faster

Role Description We are seeking a sharp and versatile Senior Actuarial Analyst to join 360F’s growing actuarial & business function. This role is deliberately designed to sit at the intersection of actuarial science and business analysis combining the quantitative rigour with the stakeholder communication, requirements gathering, and process improvement mindset of a senior business analyst. You will work in the delivery team, playing a key supporting role across product set-up, launches, financial analysis, and client-facing problem solving. This is not a pure modelling role; you will be expected to translate actuarial findings into clear business insights, work closely with product, engineering, and client delivery teams, and contribute actively to improving how actuarial knowledge is embedded into 360F’s platform and workflows. The ideal candidate has strong actuarial foundations in life, health combined with the practical toolkit of a senior BA, from API testing and data scripting to stakeholder workshops and structured documentation. You are analytically precise, commercially aware, and confident communicating across both technical and non-technical audiences. Responsibilities - Actuarial Analysis & Modelling - Support the project delivery in the analysis, development, and maintenance of products for life, health, and investment-linked insurance products across global markets. - Provide innovative ideas on product distribution, key propositions, providing actuarial edge to the technological solutions. - Be ahead of the AI development – building AI agentic solution to automate the work and sharing the best practices with the team. - Support in partnership & client management with primarily expertise on business and product front. - Build, test, and document products, client journey using AI tools and be proficient in Python, Excel, progressively moving spreadsheet-heavy approaches toward scalable, code-based workflows. - Business Analysis & Requirements - Collaborate with cross-functional teams, product, engineering, client delivery, and finance to gather, analyse, and document actuarial and business requirements for platform features and client solutions. - Translate actuarial and business needs into clear functional specifications, user stories, and acceptance criteria that engineering and product teams can act on confidently. - Conduct gap analyses between current actuarial workflows and desired future states, proposing data-driven process improvements and solution options. - Support sprint planning, backlog grooming, and issue tracking in JIRA serving as the actuarial voice in agile delivery processes. - Liaise with stakeholders across actuarial, finance, product, and technology to ensure alignment on requirements, timelines, and deliverables. - Contribute to compliance and audit readiness through well-structured documentation of actuarial processes, data flows, and model assumptions. - Data Analysis & Reporting - Build and maintain advanced data models and financial analysis tools using Python, R, and Excel including dashboards, pivot analyses, and scenario modelling for internal and client use. - Monitor and analyse key actuarial and product performance metrics including claims experience, lapse rates, profitability indicators, and pricing adequacy generating insights to support strategic decision-making. - Design and execute data validation and test cases using Postman and scripting tools to verify API outputs from 360F’s actuarial and financial calculation engines. - Extract, clean, and analyse insurance policy data from internal databases and client data feeds to support experience studies and ad hoc analytical requests. - Prepare clear, well-visualised actuarial reports and management summaries that communicate complex findings accessibly to non-actuarial stakeholders. - Client & Stakeholder Support - Support the delivery team in client-facing engagements including workshops, product review sessions, and data analysis requests from insurance carrier and banking clients. - Assist clients in understanding actuarial outputs, model assumptions, and pricing rationale translating technical results into business-friendly language. - Act as a point of contact for actuarial-related queries from internal teams including sales, client success, and product management. - Contribute actuarial input to client needs analysis frameworks, benefit illustration tools, and financial wellness models embedded in 360F’s platform. - Process Improvement & Innovation - Identify opportunities to automate, streamline, or improve actuarial workflows from data ingestion and model execution to reporting and client delivery. - Support the integration of AI and machine learning tools into actuarial processes including validation of ML-based pricing or claims models, and exploration of GenAI tools for actuarial report generation. - Contribute to the development of 360F’s internal actuarial knowledge base including model documentation, assumption registers, and process guides. - Stay current with actuarial developments relevant to APAC markets including IFRS 17 implementation updates, RBC changes, product innovation trends, and AI governance in insurance. Qualifications - Minimum 5 to 8 years of relevant experience in actuarial, actuarial consulting, or closely related analytical role with clear exposure to life, health, or investment-linked insurance products. - Pursuing or holding an actuarial designation (ASA, FSA, AIA, FIA, or equivalent) from a recognised professional body; candidates who are actively progressing through actuarial examinations are strongly encouraged to apply. - Solid working knowledge of actuarial pricing, reserving, and product analysis across life, health, and/or investment-linked product lines in one or more APAC markets. - Strong proficiency in Python or R for actuarial data analysis, model building, and automation with the ability and willingness to code models rather than rely solely on spreadsheets. - Advanced Excel skills include complex formulas, pivot tables, scenario analysis, and dashboard design for actuarial and financial reporting. - Experience with API testing and validation tools, particularly Postman, to support integration testing of actuarial and financial calculation services. - Demonstrated business analysis capabilities including requirements gathering, user story writing, gap analysis, and agile delivery support using JIRA or equivalent tools. - Strong analytical mindset with exceptional attention to detail, and the confidence to challenge assumptions and question data quality. - Excellent written and verbal communication skills in English, able to produce clear, structured documentation and present findings to both technical and non-technical audiences. - Comfortable working independently, managing multiple workstreams with minimal supervision while maintaining high standards of quality and responsiveness. - Ability to work effectively in a multicultural, cross-functional team environment spanning multiple APAC markets. - Bachelor’s degree or above in Actuarial Science, Mathematics, Statistics, Quantitative Finance, or a related field.

Role Description To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. Barclays Services LLC seeks Product Analyst in Whippany, NJ (multiple positions available): - Own and evolve the product roadmap for credit card processing, driving enhancements aligned with business goals, compliance requirements, and customer experience. - Apply strong credit card core processing knowledge and TSYS/FIS/FDR data file expertise to inform product requirements, validate transaction logic, and guide system enhancements. - Collaborate across business units to understand data needs and provide secure access to curated database views for analytical and operational reporting. - Coordinate product development and release planning, ensuring card rule configurations, transaction capture logic, and fraud strategies are well-defined and delivered effectively. - Utilize PL/SQL skills to analyze, validate, and troubleshoot data, supporting initiatives related to credit processing and risk mitigation. - Manage CI/CD pipeline integration by working with development and DevOps teams to deploy PL/SQL code across environments using Jenkins, ensuring secure and consistent code promotion. - Design ETL workflows, logical data models, create architecture vision diagrams using relational database concepts, while also leading Lean control Tribe meetings to present product architecture, address risk stories and collaborate with stakeholders across data governance, architecture, security and Run the Bank teams to ensure alignment and maintain artifacts of each requirement. - Manage the change lifecycle, from raising Change requests, managing incident tickets by prioritizing severity levels, coordinating and gathering stakeholder approvals for production deployments and timely resolutions using service first tool. - Participate in design sessions to develop and document features, break down business requirements into actionable user stories, create logical, physical and conceptual models and create clear feature and story backlogs on in JIRA and Confluence. - Collaborate with Agile scrum teams to ensure compliance with Agile Safe practices, Agile methodology and audit standards. - May telecommute pursuant to company policies. Qualifications - Strong credit card core processing knowledge. - Expertise in TSYS/FIS/FDR data file. - Proficient in PL/SQL. - Experience with Agile methodology and audit standards. Requirements - Minimum Salary: $167,835.00 per year. - Maximum Salary: $175,000.00 per year. - This position is eligible for an incentive award. Benefits - Medical, dental and vision coverage. - 401(k). - Life insurance. - Other paid leave for qualifying circumstances.