Our client, an insurance company is looking for a Non-Life Actuary Product & Pricing to strengthen the Finance Department. He·she will be in charge of the creation and pricing of products, and the analysis of portfolio profitability.

The Non-Life Actuary Product & Pricing will be responsible for:

• Non-life product pricing.
• Producing analyses related to the design of new non-life products.
• Applying various exploration models.
• Monitoring portfolio profitability.
• Communicating profitability results and strategic proposals.
• Working closely with the Head of Pricing & Analytics department as well as various departments within the company.

Profile

• University degree in quantitative sciences/PhD.
• 5 years of professional experience.
• Demonstrated expertise in non-life product pricing and P&C.
• Experience in the insurance field in Luxembourg is a plus.
• Good knowledge of tools for data analysis and modelling.
• Knowledge of Excel is mandatory. Proficiency in R and SAS is an asset.
• Excellent synthesis skills and strong interpersonal abilities.
• Critical thinking, proactivity, and persuasive argumentation skills.
• Rigorous, structured, and analytical work methodology.
• Ability to work autonomously while maintaining good teamwork skills.
• Fluent in French and English. German is an advantage.

Our Client, an international Credit Insurance company, is looking for a Risk Modeller to execute the quarterly and yearly risk capital calculations and participate to the internal model development projects

Challenges

* Development of new generation models

* Strengthening the SCR results analysis process

* Strengthening the annual model testing & review process and the recommendation issuance towards the local entities

* Integration of non modelled entities into the Internal Model

* Optimising internal processes

Main tasks

SCR Calculation:

• Execute the quarterly SCR calculation and reporting

• Execute the yearly planning exercise

• Execute the yearly stress testing exercise

• Execute the ad-hoc scenario analysis exercise

• Interact with colleagues and management in explaining results

Model Review & Testing:

• Execute the yearly review and testing of model components

• Propose necessary improvements to models and develop model changes roadmap

Tools development and maintenance:

• Understand the existing data collection, data transformation, simulation and reporting tool built in SAS

• Understand and maintain the platform used to collect the data from the local entities

• Understand the simulation engine used for the TCI LoB loss simulation

• Propose continuous improvements to the tools' infrastructure and process optimisation

• Participate in the development and implementation of the necessary tools to support the model review, testing, analysis and reporting of SCR

Functional Skills

* Master in Risk Management, Statistics, Quantitative Finance, Data Science or Mathematics

* Experience in the banking industry in the development, review or audit of the credit risk models, experience as a credit analyst

* Coding skills in Python and SAS; R is a strong asset

* Strong understanding of Solvency 2 framework, understanding of best practice model governance requirements an asset

* Project management skills and leadership

* Well organized and efficient

* Strong analytical mindset

* Detailed and result oriented

* Ability to work on several tasks/projects at the same time

* Ability to explain complex topics in a simple way

* Team player

* Easy to communicate with

* Resistant to stress

In an environment shaped by recent IFRS standards and a new framework around value management, where financial aspects are crucial, our client is looking for a Value Management Expert. This role requires a metric interpretation of data, expertise in asset and liability management, as well as the ability to interpret numbers from a "helicopter view" for strategic purposes.

Position:

As part of the financial planning management team, you will play a key role in monitoring and developing the company’s financial health through risk management measures and financial economic information, particularly including IFRS results.

Your main tasks include:

• Interpreting the company's financial results, particularly IFRS, from a strategic perspective and linking the outcomes of various standards to support decision-making based on these results. In doing so, you analyze observations to identify the economic reality behind them.
• Analyzing observations to determine the underlying economic truth and providing critical insights on potential improvements to calculation methods.
• Contributing to the development or determination of new parameters and measures within the framework of value management that play a role in the company’s strategy.
• Participating in the evaluation and monitoring of the strategy of various business lines, including drafting action plans to mitigate and prevent identified financial risks or deficiencies.
• Formulating advice and recommendations on decisions with a significant impact on how the company interprets and uses financial metrics in value management.
• Contributing to the production and continuous improvement of departmental reports by developing and maintaining decision-making support tools.
• Participating in the verification and validation of the metrics used and the underlying calculation methods.
• Conducting ad hoc analyses and formulating opinions and positions.

Required Profile:

• You enjoy initiating contact with people and can demonstrate assertiveness.
• You hold a Master’s degree in Finance, Business Engineering, or Actuarial Science, with an affinity for quantitative aspects, or have equivalent experience.
• You have experience in insurance and risk management.
• You enjoy teamwork while being highly autonomous in delivering your outputs.
• You have a quantitative mindset with strong mathematical skills, but you can also think more broadly and strategically in economic terms.
• Proficiency in Excel and other basic Microsoft tools is essential.
• Your native language is French or Dutch, and you have a good command of the second national language in addition to English.

Our client, a major international insurance company, is looking for a Non-Life Reserving Actuary to join their Corporate Actuarial Department. The successful candidate will be responsible for managing the reserving process, focusing on IFRS and Solvency II compliance across a portfolio of P&C insurance products.

He/she will be in charge of the following tasks:

• Manage the quarterly IFRS reserves process end-to-end for assigned portfolios.
• Contribute to the harmonization of actuarial reserving methods and calibration assumptions.
• Support the implementation of IFRS 17 and assist in Solvency II modelling.
• Develop expertise in actuarial reserving tools and processes.
• Provide actuarial input into financial projections, budgeting, and reinsurance accounting.
• Collaborate with internal stakeholders (underwriting, claims, risk) to ensure the accurate reporting of reserves.
• Act as a key contributor to finance transformation projects aimed at process and tool improvement.
• Prepare actuarial reports for internal and external stakeholders, including senior management and regulatory bodies.

Profile

• Education : Master’s degree in actuarial science, mathematics, or a related field.
• Experience: Junior: Minimum 4-5 years of experience in P&C actuarial reserving.
  Senior : Minimum 10+ years of experience, with leadership responsibilities in P&C reserving.
• Technical Skills: Proficiency in traditional reserving methods (triangles, IBNR) and experience with Solvency II and IFRS 17 regulations. Familiarity with actuarial tools such as ResQ, SQL, and modern data analytics tools (Power BI, Python) is a plus.
• Soft Skills: Strong communication and collaboration skills. Ability to work effectively in a team and liaise with multiple internal departments. Leadership and mentoring experience required for senior positions.
• Languages: Fluent in English, French is a plus.

Notre client, une compagnie d’assurance, est à la recherche d’un(e) Risk Modelleur Non-Vie afin de renforcer la Direction Actuariat.

Le/la future Risk Modelleur Non-Vie sera responsable des tâches suivantes :

• Modélisation : développement et optimisation des travaux quantitatifs actuariels des trois piliers Solvency 2 (modèle interne partiel, modèle standard, calcul du SCR …),
• Participation aux différents reportings prudentiels (rapports actuariels, ORSA, RSR) à l'intention des différentes instances,
• Participation aux études techniques de tarification pour le lancement de nouveaux produits, produit d'assurance et de réassurance,
• Réalisation d'études statistiques,
• Outils de pilotage et de suivi des risques,
• Interventions sur des sujets transverses (stress tests EBA…),
• Soutien technique auprès des autres fonctions de la compagnie (souscription, comptabilité…).

Profil

• Master en Actuariat,
• Minimum 2 ans d’expérience, de préférence en modélisation risque Non-Vie,
• Bonne connaissance de l’environnement règlementaire et de Solvabilité II,
• Maîtrise de la Suite Office et de SAS,
• Esprit d’équipe,
• Rigueur, curiosité et autonomie,
• Maîtrise du français et de l'anglais.

Our client, an insurance company is offering the unique opportunity of working as Internal Model Governance Supervisor to support the Group Risk Management department.

He/she will be in charge of the following tasks:

Key responsibilities:

• Overseeing Model Validation: Follow up on re-validations from the Central Group, coordinate annual local revalidations and local suitability assessments, produce an annual validation report summary, and organize validation committees.
• Managing Model Changes: Set up appropriate communication flows and manage any changes to the model.
• Internal Governance Management: Maintain and update the model governance framework and related documentation.
• Regulatory Liaison: Coordinate model inspections, follow up on regulatory recommendations and action plans, ensure compliance, and manage regulatory reports (ORSA, QRT, etc.).

Additional Responsibilities:

• Follow up on current projects within the Credit Risk team or with external consultants.
• Actively set up cross-departmental cooperations.
• Oversee model runs, including follow-up on quarterly closing timeliness and budget planning runs.

Profil

• Bachelor or Master’s degree or equivalent through experience.
• Experience with regulatory frameworks and risk management practice in financial institutions or corporate compliance.
• Ability to influence management and to work collaboratively across diverse teams.

Our client, an insurance company is looking for a Head of Actuarial Function to support the Risk Management Department. He/she will be in charge of the identification the potential risks that could impact thecompany and to develop strategies to control and monitor those risks, to provide the Executive Committee and the Board of Directors with a degree of quality insurance for the actuarial calculations and underlying assumptions, as per existing regulation.

The Head of Actuarial Function will be responsible for :

• Holding the Actuarial Function as per the Solvency II and NBB.
• Providing Actuarial Function opinions quarterly on Technical Provisions and present these opinions to the dedicated Committees.
• Providing clear opinions and recommendations on area of responsibilities of the Actuarial Function (technical provisions, BEGAAP, data quality, underwriting, profit sharing dotation, profitability, reinsurance) and present the Actuarial function report to the Board of Directors.
• Signing-off/performing second line validation on key items related to the Solvency Best Estimate or BEGAAP: calibration, assumptions, expert judgement, data quality, calculations, model changes.
• Coordinating work on model risk on behalf of the Chief Risk Officer.
• Coordinating Actuarial Function activities with Group Actuarial Function Holder.
• Supporting and interacting with the Risk Management Function e.g. for the ORSA process.
• Preparing governance bodies material (Board of Directors, Executive Committee, Risk Management Committee, Audit & Risk Committee,).
• Managing one direct report and ensuring people development through regular 121 and coaching.

Profile

• You have a university degree in actuarial science.
• You have at least 5 years' experience in life actuarial within an insurance company.
• You have strong understanding of Asset-Liabilities Management.
• You are a native French or Dutch speaker with good command of the other national language and can work in English.
• You are quantitative in approach with a high practical intelligence.
• You are highly organised and can work to tight deadlines and conflicting priorities in a fast-paced environment.
• You are assertive, have strong influencing skills and can build relationships with stakeholders at all levels of seniority.
• You have excellent communications skills, both verbal and written, and you are able to produce high quality written presentation materials.
• You are a strong team player, who collaborates easily and effectively across functions and with stakeholders to achieve results.

Our client, an insurance company, is looking for a Non-Life Actuarial Function Officer to join the Actuarial Function Department.

The Non-Life Actuarial Function Officer will be responsible for:

• Write opinion and actuarial reports for regulatory purposes or for the Executive and/or Administrative Committees on the following topics:
  • Technical provisions (BeGAAP, Solvency II and IFRS)
  • Profitability and underwriting policy
  • Reinsurance planning
  • New products
  • Assessment and review of the accuracy of the assumptions and models
• Lead actuarial analyses and studies and make recommendations based on those, present the conclusions to the concerned departments, follow up on those recommendations
• Take part in the risk mapping and control of the company, make recommendation on risk management
• Liaising with the concerned departments within the company, monitor and analyse the new risks (cyber, climate change, new mobility pandemic…) and new techniques (AI, ML…) and their impact on the insurance portfolio
• Monitor any activity linked to IFRS17 in order to be able to assess the technical provisions in the IFRS17 balance sheet

Profile

• Master’s degree in Actuarial Sciences or on a quantitative field or similar
• A previous professional experience in Non-Life insurance
• Good knowledge of the basic IT tools and an affinity with programming languages.
• Eye for detail and critical thinking
• Analytical mind allowing to draw conclusions and recommendation from figures and analyses
• Excellent communication skills, both written and spoken
• Fluent in one of the national languages (Dutch or French) and English

Our client, an international insurance company is looking for a Senior Non-Life Pricing Actuary to strengthen the Pricing Department. He/she will be in charge of  building and managing the pricing of Non-Life Insurance Product and harness the opportunities offered by data science and telematics practises.

The Senior Non-Life Pricing Actuary will be responsible to :

• Ensure the accuracy and adequacy of data from the production system, collaborating with IT teams and contractors to implement necessary changes.
• Develop and update risk models crucial for price setting regularly as more data becomes available. Additionally, create demand models (price elasticity) as needed to support the risk models.
• Work with business stakeholders to design and propose a commercial pricing strategy that aligns with business objectives, considering risk models, pricing structures, competitive environment, and customer behaviour.
• Based on business goals, KPIs, and ad-hoc analyses, recommend rate adjustments to enhance product performance (both new business and renewals). Suggest renewal strategies to optimize portfolio profitability while supporting business growth.
• Assist in the creation or enhancement of KPI reports to track sales performance and portfolio profitability according to risk and customer profiles.
• Conduct various analytical investigations to gain deeper insights beyond those provided by KPI reports.
• Document all work and models thoroughly.
• Present findings and recommendations to a non-technical audience.

Profile

• University Degree in Mathematics, Physics, Data Science or Statistics
• Preferably but not required, making progress in Actuarial exams with the Institute of Actuaries or equivalent
• 5+ years working in insurance P&C line of business, preferably Personal Lines
• Python, R, SQL knowledge and experience is a plus
• Practical knowledge of visualization tool such as Power BI or Tableau
• Ability to communicate clearly and effectively to non-technical audience
• Diligence and reliability in the work carried out
• Fluency in English

Our client, an insurance company is looking for a Business Data Scientist to strengthen the Actuarial Department. He·she will be in charge of  the Datamart, and analyses. 

The Business Data Scientist will be responsible for  :

DATAMART

• Finalising the implementation of the Datamart (integrate new data while controlling their quality, implement the Slowly Changing Dimension, etc.)
• Mastering the structure and data, their business interpretation, and the underlying reporting
• The daily data management (error logs, automatic reports, sending data to the Group, etc.)
• Participating actively in the implementation of IFRS 17 with the Group (creation of a harmonised DWH, data required for the models, etc.)

ANALYSES

• Understanding and anticipating the division's needs in terms of business analysis and reporting.  Creating adequate reports, with a focus on data visualisation (implement a visualisation tool: SAS VA and/or Power BI).  Ensuring automation of reports.
• Providing statistics and analyses of the business to key departments (Commercial, Risk, Claims, Collection) by documenting results and their evolution.
• The development and monitoring of various statistical models: internal model in the context of Solvency, scoring models (PoD, LGD), ...

Profile

• Master’s degree in Mathematics, Engineering, Sciences, etc.
• At least 3 years of professional experience.
• At ease with data interpretation and statistics.
• A first professional experience in creating and maintaining a database / writing ETL is necessary.
• Advanced knowledge of SAS software: SAS Enterprise Guide, SAS Enterprise Miner, SAS Management Console.