Experienced Consultant/Senior- Actuarial & Risk | Lisboa

Experienced Consultant/Senior- Actuarial & Risk | Lisboa
Lisboa
Lisboa, Lisboa, Portugal

Detalhe da Oferta:

The Crit Group is a global multinational in Human Resources services present in several countries. Founded in 1962, it is among the Top 20 world leaders in staffing with more than 500 employment agencies distributed around the world.

We are recruiting an Insurance Risk Consultant (m/f) for a client that provides services in the area of audits in various fields, such as law, strategy, taxes and transactions, located in the center of Lisbon.

Job Description:

You will be part of risk and actuarial strategic projects and support financial institutions in their risk and actuarial decisions and developments. You will also contribute to client satisfaction by providing timely and effective responses to client needs and concerns and participate in client meetings and work within a team environment to deliver fully integrated benefit services to clients.

Key responsibilities:

Assist in the delivery of key projects for our clients (life,
- life and pension funds insurance companies) on a wide range of topics;

Adapt methods andpractices to fit operational teams;

Contribute to improve operational efficiency on projects and internal initiatives, consistently driving projects to completion while ensuring the quality of the work delivered;

Manage yourtime and be responsible for delivering to both clients and internal stakeholders, keeping a clear focus on anticipating and identifying risks, and escalate issues as appropriate;

Workingclosely with colleagues, you will create a positive learning culture and coach and counsel junior team members and help them to develop Skills and attributes for succes;

Willingto join adynamic team in a challenging environment;

Strong technical/mathematical skills;

Contribute to client satisfaction by providing timely and effective responses to client needs and concerns;

Participatein client meetings and work within a team environment to deliver fully integrated benefit services to clients;

Takea practical approach to solving issues and gaining client agreement;

Encourage and facilitate collaboration amongst team members and promote an inclusive working environment.

To qualify for the role, you must have

A bachelor s and master s degree in actuarial science, mathematics, statistics, economics or similar academic background;

At least 4 years of previous work experience in the insurance or consulting environment;

Relevant knowledge about IFRS17;

Excellent analytical, research and communication skills;

Abilityto build team and client relationships and manage expectations;

Full
English Proficiency.

Ideally, the candidate also have

An understanding of risk and actuarial concepts;

Experience in reserving or Solvency II is preferable

Knowledge in programming languages will be valued (e. G. VBA, R and SQL).

What we offer

Direct contract with the client company

We offer a competitive remuneration package where you ll be rewarded for your individual and team performance. Plus, we offer support and coaching, opportunities to develop new skills and progress your career, and the freedom and flexibility to handle your role in a way that s right for you.

Continuous learning: You ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You ll be embraced for who you are and empowered to use your voice to help others find theirs. Contrato de Trabalho direto com a empresa cliente.

His job advertisement will consider the recruitment of people with disabilities, in compliance with the quota system imposed by Law No. 4/2019, of January 10, which constitutes a positive action measure for the purposes provided for in article 27 of the Labor Code.

24, 000 ¤ - 30, 000 ¤

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