Job Description

We are seeking a Software Engineer, specialized in data engineering to join our dynamic Tech team. to reinforce our team and help us build and further maintain tools around accumulation monitoring. The candidate key skills will be the ability to develop a complex application together with a good understanding of the (re-)insurance industry.

As a reinsurer, controlling our accumulation is a key aspect of the underwriting process; it is an important driver of our risk appetite, our capacity limits and our retrocession. But accumulation is challenging as it can impact us in many different ways, requires a lot of cedent and market data that are typically not harmonized through a common standard, and can involve heavy calculations.

To address this need, a new accumulation team has been created (with experts from different lines of business) and a study has been launched to build a new system that should:

• Acquire and gather exposure data in a central place and in a harmonized way
• Augment the exposure data with additional information at the cedent’s risk (individual exposure) level or the SCOR contract level to enhance reporting possibilities.
• Apply logic that recognises that risks that may be coded differently across cedents are in fact the same and therefore subject to the same per risk accumulation
• Support the creation of standard and ad-hoc scenarios to answer requests from the management/the regulators.
• Efficiently compute accumulation exposures, apply primary and reinsurance terms and conditions for millions of locations/policies.
• Enable standard and ad-hoc reporting through modern BI tools and storage technologies.

Key duties and responsibilities

You will be responsible to design and create essential parts of our software stack:

• Spark calculation engine, including financial module, accumulation logic, risk matching.

• Scenario module, potentially including statistical model creation/implementation.

• Data modeling and organization.

• Exposing results to the BI tools to enable performant and flexible reporting.

• You will work in a team and will support the work of others through code reviews and pair programming.

Required experience & competencies

• Minimum 5 years professional experience in software development.

• Strong experience of big data engineering development with PySpark.

• Strong experience with Databricks and the cloud-based Lakehouse architecture.

• Working experience with Agile methodologies.

• Knowledge of the (re)insurance industry.

• Actuarial expertise is a plus for the role.

Required Education

• Master's degree (or equivalent experience) in Computer Science/Physics/Mathematics or related technical field.

• Databricks certification a strong plus.

Click on the link and discover SCOR Romania | SCOR

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.