Search the 6 jobs at AIG

Join as Principal IAM Engineer at AIG to design, implement, and maintain enterprise IAM infrastructure using SailPoint IdentityIQ and Java programming skills. Role involves managing user identities, automating processes, integrating systems, and ensuring compliance. Requires extensive experience in IAM solutions and development. Position can be based in London or Dublin office.

The Sales Manager at General Insurance is responsible for identifying potential producers, recruiting, training, retaining, driving, and developing them towards higher productivity. They support the Branch Manager/Head of Sales in achieving set plans and goals.

Responsible for day-to-day financial operations and reporting tasks, including month-end GL closing, regulatory and regional reporting, and financial analysis. Requires Bachelor's degree in Finance & Accounting, relevant working experience, and strong Microsoft Excel skills.

Manage and maximize business opportunities from existing sponsored accounts for all consumer products across all distribution channels. Develop and execute partner sales/marketing plans to maximize revenue generation. Represent AIG in the market to extend reach and create awareness on direct marketing opportunities. Prepare annual budgets and financial performance targets for sponsors. Communicate with stakeholders and liaise for campaign implementation and ongoing performance. Tertiary education with minimum 2/3 years of working experience required. Excellent communication and interpersonal skills with fluency in English and Bahasa Malaysia.

Join as a Syndicate Accountant at Talbot managing agent of Syndicate 1183 and Syndicate 2019 at Lloyd’s. Responsible for syndicate reporting, preparation of quarterly submissions, Lloyd’s regulatory reporting, ledger maintenance, and process improvement. Requires 3+ years syndicate accounting experience, advanced Excel skills, knowledge of UK GAAP.

Join as a Data Scientist to contribute to the development of algorithmic core for new projects, analyse and interpret complex data, implement ML algorithms, provide data-driven insights, and communicate findings with stakeholders.