Senior Quantitative Analyst Permanent

Our client provides trade credit insurance, surety and collections services worldwide, and has a presence through 160 offices in 52 countries. The products offered by our client protect companies around the world against the default risks associated with selling goods and services on credit.

At our client, we believe in personal development and the Growth Mindset. Our Culture is based on teamwork, reliable accountability, constantly improving and unrivalled service.

Unit Description

The unit Group Provisioning (GP) is a multidisciplinary unit with a range of responsibilities. They include the regular reporting of our client’s technical provisions under IFRS and Solvency II. They develop and maintain their own tools and models to support this process. The uniqueness of our client’s products, combined with the size and heterogeneity of the portfolio, leads to interesting analytical, modelling and programming challenges.

The unit is based in Madrid and Amsterdam. Within GP, the quant team is responsible for the maintenance, development and technical implementation of reserving and cash flow models. The team is multidisciplinary in the sense that it encompasses actuarial skills, knowledge of insurance products, underwriting systems and data and has technical implementation skills. This team is based in Amsterdam.

GP has an important role in the Group’s IFRS 17 program and is responsible for the development and implementation of the actuarial calculations required. The team’s main analysis and programming language is R. As part of the IFRS 17 program, we are professionalising our processes further by developing a scalable Cloud based solution, using latest BigData technology available for R. The Quant team responsible for this work consists of a manager, four quants, and three quant developer contractors.

Job Description

You will work in an enthusiastic, committed, non-hierarchical, and international unit, which employs several people with an actuarial and quantitative background. As an expert quantitative analyst, you are primarily responsible for developing and maintaining methodological implementation of our cash flow prediction models. Moreover, you will contribute in designing and improve processes around the life cycle management of our models as well as our software and infrastructure increasing their predictive capability and stability.

Tasks include:

• Contribute to maintaining the unit’s functional and technical implementation of models that produce technical provisions and cash flow estimates.
• Train and coach other members of the team in matters of data/modelling/insurance/actuarial science.
• Review R code functionally and technically to ensure compliance with documented quality standards.
• Contribute to the transformation of the unit’s models to a Cloud based BigData solution.
• Contribute to implementing and improving the life cycle management of our code and infrastructure.

Job Requirements

• You have an insurance/actuarial or banking/credit modelling background.
• You are IT literate, with programming experience. You can deliver production quality code in a programming language preferably demonstrated in an insurance/banking environment.
• You have knowledge of developing software.
• You are able to work with large amounts of data.
• You have strong quant skills.
• You take initiative and responsibility. You are a self-starter.
• You have a proven ability to explain the outcome and relevance of model results to a non-technical audience.

Knowledge, Education And Experience

• Master’s degree in a quantitative science or a degree in Actuarial science (e.g., physics, math, stats, quant finance, econometrics).
• Hands-on experience with a programming language is a plus.
• Knowledge and experience in building, designing software tools.
• Understanding of BigData infrastructure from a user perspective.
• Experience with numerical programming and optimisation is a plus.
• Fluency in English with excellent writing skills.
• Knowledge and experience in use of source code management tools like GitHub is a plus.

What do they offer?

• A dynamic, international and challenging work environment
• Training and support to reach your full potential including the opportunity for continuous professional development
• Attractive terms and conditions, including competitive salary, pension package and a range of flexible benefits and rewards
• Challenging tasks with individual development and training opportunities

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