Property & Casualty (P/C) Insurance Junior Analyst at Allianz Insurance

Trieste, Friuli – Venezia Giulia, Italy -

Full Time

Start Date

Immediate

Expiry Date

26 Jun, 26

Salary

0.0

Posted On

28 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Strategic Planning, Performance Monitoring, Quantitative Analysis, Forecasting, Actuarial, Accounting, Risk Management, IFRS9/17, Solvency II, Excel, Python, Power BI, PowerPoint, Analytical Mind-set, Problem-Solving, Team-working

Industry

Financial Services

Description

Job Purpose / Role Within the Strategic Planning department in the CFO area, we are looking for an Insurance Planning specialist who will join the P/C Planning & Capital Management team. Your role will encompass a variety of dynamic and challenging tasks. These include – but are not limited to – supporting the activities related to the Strategic Planning cycle in the P/C segment, the ongoing performance monitoring, and the regular forecast activities as well as to ad hoc special projects. To this end, you will collaborate closely with a diverse range of experts. This includes for example interacting with Actuarial, Accounting&Reporting, Risk colleagues, as well as with the P/C technical area team. Key Responsibilities In particular, your tasks will comprise: Contributing to the design and coordination of the Strategic Planning for P/C Companies within Allianz S.p.A. Group, Support the monitoring activities and running quantitative analysis to support the CFO and the Business Functions’ strategic decisions Support the regular forecast activities in coordination with all involved Local and Group departments Contributing to the implementation of strategic business initiatives and ad hoc, cross functional projects, Key Requirements / Skills / Experience Master's degree in Economics, Actuarial, Mathematics or equivalent Experience (e.g. 1 year) in Insurance Companies, preferably within Planning & Controlling and/or P/C Actuarial Department Good knowledge of the insurance accounting standards (IFRS9/17, Local Gaap) and Solvency II Excel, Python, Power BI and PowerPoint knowledge Strong analytical and quantitative mind-set, entrepreneurial attitude and learning agility, along with strong result-orientation and problem-solving capabilities Strong team-working orientation, delivering on tight deadlines alongside with dealing with separate work-streams at the same time mind-set Outstanding communication and presentation skills Fluent in Italian and English Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. Both genders may apply in accordance with the L. 903/77 (s.m.i).

Responsibilities

The role involves supporting the Strategic Planning cycle for the P/C segment, including ongoing performance monitoring and regular forecast activities within the Planning & Capital Management team. This specialist will contribute to the design and coordination of strategic planning and support decision-making through quantitative analysis.