Senior Actuarial Analytics Manager
1 week ago
Position Overview:
We are seeking a seasoned and innovative Senior Actuarial Analytics Manager to lead our team of analysts in delivering advanced analytics solutions for our banking clients. The ideal candidate will have extensive experience in actuarial science, data analysis, and a proven track record of driving strategic initiatives and managing client relationships.
Key Responsibilities and Skills:
• Lead the development and implementation of advanced analytics projects, including Capital Estimation and Reporting, Risk Appetite and Benchmarking, Pricing and Analytics, Predictive Modeling, Risk Assessments, and Scenario Analysis.
• Oversee the design and execution of actuarial models and statistical techniques to extract insights from large datasets.
• Collaborate with cross-functional teams to identify opportunities for process automation and optimization, leveraging advanced analytics tools and techniques.
• Experience of working in international markets.
• Provide strategic guidance and mentorship to junior analysts, fostering a culture of innovation and continuous improvement.
• Act as a trusted advisor to clients, delivering actionable insights and recommendations to support their business objectives.
• Advanced insurance and actuarial knowledge, strong technical, analytical, problem solving and interpersonal skills, effective communicator to superiors, peers and subordinate, good command of the English language.
• Must have exposure in data handling, actuarial modeling, model testing & validation
• Actuarial Data Analysis and Reporting for Business Insights
• Financial Reporting and Solvency II Compliance
• Experience Studies and Survival Analysis
Qualifications:
• Bachelor's/Master's degree in economics, mathematics, actuarial sciences, statistics, or engineering.
• Experience level required ranges from 3 - 8 years
• Prior experience in Pricing, Reserving, and Capital Modeling is preferred.
• Affiliation to IAI, IFOA, or SoA, with a requirement of at least 3-8 or 2-6 CT actuarial exams cleared.
• Strong reserving experience or good knowledge of reserving methods and techniques is preferred.
• Knowledge of insurance products and regulatory environment is necessary.
• Experience with Solvency II, IFRS 17, or US-GAAP LDTI is a plus.
• Proficiency in Excel, SQL, SAS, VBA, and other relevant tools for data analysis and modeling, with knowledge of Python and PowerBI being advantageous.
• Exposure to actuarial software like IGLOO is beneficial.
• Superior analytical and problem-solving skills are essential.
• Outstanding written and verbal communication skills, with the ability to communicate complex concepts to both technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, continuously evolving environment, and readiness to take up challenges.
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