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Salary
$40k – $118k per year (Estimated)
Location
Remote/Hybrid (Stockholm, Sweden)
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SEB

SEB, Skandinaviska Enskilda Banken, is a Nordic financial services group headquartered in Stockholm, and this record covers its Finnish operation, which serves large and mid-sized companies, institutions and wealthy families. Founded in 1856, the group provides corporate and investment banking, private banking and asset management across the Nordic and Baltic region, and has operated in Finland for 40 years, serving more than a thousand institutional clients there. Its postings, mostly in Stockholm, Solna, Vilnius and Riga, cover software, data and DevOps engineers, solution architects, risk analysts, compliance officers, private bankers and business services specialists.

We are looking for a Quantitative Credit Risk Analyst to join the Non-Retail Credit Risk modelling team in SEB. The job offers an exciting mix of analytical challenges and professional development opportunities: working with big data, developing credit risk models, understanding and abiding to regulatory constraints and explaining complex models to stakeholders on all levels across the Bank. You will be part of a dedicated, expert team with broad exposure across the bank and excellent prospects for personal and career growth.

About the role

The Non-Retail Credit Risk Modelling team is in the CRO organization in SEB. Credit Risk covers IRB, IFRS9, and stress testing models across all jurisdictions and legal entities of SEB Group. As a Quantitative Credit Risk Analyst in the Non-Retail Credit Risk modelling team, you will be building and maintaining models that lie at the core of SEB’s risk management and capital framework.

As a Quantitative Credit Risk Analyst, you will:

  • Explore large and complex datasets to uncover patterns and gain insights into credit risk behaviour
  • Develop, enhance and maintain models that support credit decisions, capital adequacy and pricing strategies
  • Participate in regulatory and internal model development projects, collaborating with experienced quants and credit risk experts
  • Present analysis and findings to internal stakeholders in risk, business and credit functions
  • Help ensure models are used effectively by supporting their implementation in production and contributing to documentation and governance processes

You will have the opportunity to develop a deep understanding of quantitative risk modelling in banking, while continuously building your technical and professional skills in a supportive and intellectually stimulating environment.

The role is based in Stockholm.

You will thrive in this role if you:

are curious about data, modelling and credit risk, and enjoy using analytical thinking to solve complex problems. You take a structured and solution-oriented approach to your work and are motivated by finding ways to improve processes and outcomes. As a collaborative team player, you enjoy sharing knowledge and working closely with others, while also taking ownership of your responsibilities. You communicate clearly with different stakeholders and feel comfortable explaining complex topics in an understandable way. We also value individuals who are willing to challenge ideas constructively and contribute to continuous improvement.

Your experience and background:

  • Master's degree in a quantitative field such as Statistics, Mathematics, Finance, Economics, Engineering, or similar
  • Hands-on experience working with data, analysis and modelling
  • Proficiency in Python
  • Strong communication skills in English, both spoken and written

Meritorious experience:

  • Experience with SAS and/or SQL
  • Knowledge of credit risk modelling, including PD, LGD and EAD
  • Knowledge of credit risk regulations and supervisory guidelines, such as CRR and CRD
  • Knowledge of Swedish

Candidates for both junior and senior roles are encouraged to apply.

What we offer

  • Friendly and welcoming culture
  • Challenging and interesting projects at the forefront of credit risk modelling
  • A supportive environment for learning, development and career progression
  • Attractive compensation and benefits
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