Manager - Actuarial( Reserving- Non Life)

Job Summary

Required Qualifications

• •Degree in Statistics, Mathematics, Actuarial Science, Computer Science, Engineering, or related field
• •5+ years of experience in P&C actuarial or insurance analytics work, with exposure to pricing, reserving, capital, regulatory, or related technical areas
• •Completed at least 10 actuarial exams under the new curriculum
• •Strong technical knowledge of actuarial and analytical techniques
• •Proficiency in Python and/or R, including experience with data visualization and report generation
• •Advanced Microsoft Office skills, particularly Excel (including VBA) and PowerPoint
• •Strong analytical thinking, problem-solving, and attention to detail
• •Strong communication, interpersonal, with good people management skills
• •Must be able to work independently with minimal supervision
• •Must be able to lead multiple projects simultaneously
• •Must be able to ensure alignment with stakeholder expectations and strategic goals
• •Must be able to contribute to and lead the preparation of client reports, presentations, and other deliverables
• •Must be able to clearly structure and communicate findings
• •Must be able to participate in and lead projects
• •Must be able to take increasing responsibility for more complex assignments
• •Must be able to contribute to client relationship management
• •Must be able to identify opportunities for new business
• •Must be able to support the development, enhancement, and application of analytics-based tools, models, and solutions
• •Must be able to identify and drive opportunities to automate and improve processes
• •Must be able to deliver measurable gains in efficiency and output quality
• •Must be able to foster an environment of innovation and continuous improvement
• •Must be able to provide training, mentoring, and guidance to junior team members
• •Must be able to ensure team members maintain essential operational disciplines such as timesheets, project trackers, and leave records
• •Must be able to build broad connections across Analytics Solutions and the wider organization
• •Must be able to share knowledge to strengthen collective capability
• •Must be able to work well under pressure
• •Must be able to manage competing priorities
• •Must be able to maintain quality across a portfolio of engagements
• •Must be able to improve analytics techniques, processes, and outputs
• •Must be able to coach, develop, and provide performance feedback to junior colleagues effectively
• •Must be able to work at least three days a week in the office

Desired Qualifications

• •Preferably passed relevant papers under the old curriculum such as CT3, CT4, CT6, and ST8
• •Preferably passed relevant papers under the new curriculum such as CS1, CS2, and SP8
• •Good knowledge of regulatory and reporting requirements related to capital, solvency, or insurance financial reporting standards (IFRS 17)
• •Deep knowledge of actuarial reserving methodologies, risk transfer techniques, and exposure to quantitative methods such as cashflow projections and stochastic modelling
• •Experience with statistical modeling, including GLM and machine learning methods such as decision trees, random forest, and XGBoost
• •Good commercial judgment, with the ability to balance technical depth and business needs
• •Confidence in leading client interactions, presenting complex findings, and contributing to business development conversations
• •A proactive mindset, with the ability to improve analytics techniques, processes, and outputs