Junior Quantitative Data Analyst in Credit Risk Model Validation

SEB
Vilnius
Workplace: HybridFull timeEUR 2,700 - 3,900 monthlyFunction: Capital Markets, Trading & QuantSkills: ["Analytical curiosity","Ownership","Collaboration","Writing and communication","Attention to documentation"]

Support credit risk model validation within SEB’s Group CRO organization by retrieving, preparing, analyzing, and interpreting datasets used in reviews. Assist with structured data quality (DQ) checks, reconciliations, and maintaining validation datasets and documentation. Contribute to validation infrastructure by helping with automation, reusable scripts/templates, reporting outputs, and follow coding/versioning standards under guidance from senior team members.

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FursaFursa
SEB
SEB
2 days ago

Junior Quantitative Data Analyst in Credit Risk Model Validation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Support credit risk model validation within SEB’s Group CRO organization by retrieving, preparing, analyzing, and interpreting datasets used in reviews. Assist with structured data quality (DQ) checks, reconciliations, and maintaining validation datasets and documentation. Contribute to validation infrastructure by helping with automation, reusable scripts/templates, reporting outputs, and follow coding/versioning standards under guidance from senior team members.
Location: Vilnius
Workplace: Hybrid
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Entry level

Key Responsibilities

  • •Work with the validation team to retrieve, prepare, analyze, and interpret data used throughout the model validation process.
  • •Support data quality by performing structured DQ checks, reconciliations, and data profiling using standardized datasets and definitions.
  • •Contribute to validation infrastructure by supporting automation tasks, reusable functions, reporting templates, and coding standards under guidance.
  • •Help suggest improvements to existing tools and processes to increase efficiency and consistency over time.
  • •Assist with documenting data lineage, access methods, and data usage guidelines, and support the preparation of validation datasets and samples within timelines.

Pay and Benefits

Salary: EUR 2,700 - 3,900 monthly
Perks:Gym MembershipHealth InsurancePension FundProfit SharingPaid LeaveVolunteering Days

Key Requirements

  • •Have an academic background in statistics, mathematics, data science, econometrics, physics, engineering, or similar fields.
  • •Up to 3 years of work experience in data analysis or credit risk modelling/validation (internships and academic projects considered).
  • •Working knowledge of analytical and programming tools such as R, SAS, SQL, or Python, with motivation to deepen skills.
  • •Experience working with large datasets or data warehouses.
  • •Ability to follow existing DQ frameworks, reconciliation logic, and standardized data structures under guidance.
Experience:Credit riskData analysisData warehouses
Education:
Skills:Analytical curiosityOwnershipCollaborationWriting and communicationAttention to documentation
Languages:English
Tech Stack:RSASSQLPythonData warehouses

Company Brief

SEB
SEB (Skandinaviska Enskilda Banken) is a leading Nordic financial group offering corporate and institutional banking, wealth management, private banking, and asset management services to businesses and private customers across the Nordic and Baltic regions.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 1856
WebsiteLinkedIn