Quantitative Risk Analyst to Loomis

Looking for a role where you will have the opportunity to expand your quant analysis skills in an international environment?

Loomis Group Risk Department is expanding and are looking to appoint a new team member to be based at the Stockholm Headquarters.

If the prospect of joining a team with high ambitions charged with coordinating risk management and risk control efforts across all 23 countries incorporating all business lines appeals to you, read on!

The Quantitative Risk Analyst will work on projects related to development of business intelligence, including statistical methods to detect changes in risk levels both at an early stage and based on data driven insights, issuing recommendations on mitigating actions to the Chief Risk Officer and other senior managers. The scope of risks under analysis is broad and ranges from physical risks such as robbery and theft risks to financial risks. Also taking ownership of the Loomis Enterprise Risk System and its databases and working on providing informative and insightful risk reporting from the system to Loomis various stakeholders such as Senior Management, Board of Directors, Insurance Companies and Auditors. There will be a strong focus on project-based work across functions and geographies, your ability to effectively interact and collaborate with various stakeholders across the group will be critical in ensuring progression and success in the role

Role associated responsibilities

- Develop data science models based on Loomis vast amounts of risk data with the aim to early detect changes in risk levels and/or risk behaviour.
- Take ownership of Loomis Enterprise Risk System, including maintenance of its risk databases.
- Develop and automate insightful risk reporting and monitoring tools for Loomis internal and external stakeholders including senior management, board, insurance companies, regulatory bodies, and auditors.
- Take part and develop effective data-based models to manage and distribute actuarial risk across the Loomis Group,
- Participate in discussions with and contribute with insights to the rest of the CRO-office team with the aim to perform best-in-class risk control and risk management practices.
- Be in close dialogue with the CRO and other senior managers in the risk department on quantitative and data driven risk matters.


Profile

Ideal candidates will possess a good mix of the following experience, qualifications, and skills:

- At least 3-7 years of experience working with business intelligence including usage of statistical methods.
- Experience from the financial sector and particular in the risk discipline is a plus.
- Experience from consultancy is a plus.
- University degree in engineering, mathematics, physics or equivalent
- Proven track record of managing complex data science projects, Database management and API design
- Strong communication and presentation skills in English, additional languages are an advantage


- Strong programming skills including Python, SQL and R.

- Knowledge and experience of AI and Machine learning models are an advantage

About Loomis

Loomis is the specialist in creating an efficient cash flow in society. Offering comprehensive solutions at all levels of society including financial institutions, retailers, other commerce related business and the public sector. With 24,000 employees operating in branch offices spread across more than 20 countries. A corporate culture built on the core values of People, Service and Integrity awaits you, more information about Loomis can be found here: (https://www.loomis.com/en/about-loomis/loomis-brief)

Questions and contact

Loomis is working with Amendo in this recruitment process. If you have any questions regarding this specific role, please contact Shaun Ogden at (mailto:xxx@lagottosearch.se), Interviews and selection are ongoing so please do not hesitate to register your interest in the role immediately.

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