Senior Credit Risk Analyst

Enity Bank Group; Sweden; On-site; SEK 761,670 - 912,330; Full time

Benefits offered by this job

Generous benefits

Flexible work-life balance

Job summary

Enity Bank Group is seeking a Senior Credit Risk Analyst in Stockholm. The role emphasizes strengthening data-driven credit risk capabilities through credit analysis and modernization of underwriting processes. Candidates should have experience in quantitative modelling and a solid grasp of Nordic credit regulations.

Offering a competitive salary starting from SEK 75,000 with benefits, the position requires strong programming skills and the ability to work effectively across teams.

Qualifications

• Several years of experience in credit risk, quantitative modelling or risk analytics.
• Proven experience developing automated credit processes.
• Strong understanding of Nordic credit regulations.

Responsibilities

• Contribute to the design and development of automated credit decisioning.
• Apply statistical and machine learning techniques to enhance model performance.
• Conduct data analysis using Python, SQL, or SAS.

Skills

Credit risk analysis

Quantitative modelling

Python programming

SQL knowledge

Experience with mortgages

Education

Academic degree in finance, economics, mathematics or related field

Tools

SAS

Analytical tools

Job description

About Enity Bank Group

At Enity, we believe in people's potential. We’re challenging the Nordic mortgage market by making banking more inclusive, sustainable, and human. As a listed company with the brands Bluestep Bank, Bank2 and 60plusbanken, we offer mortgages to those often excluded by traditional banks—for example, due to self‑employment, employment type, age, or credit history. We operate across Sweden, Norway and Finland, and we’re on a mission to shape the future of banking—together.

About the role

As a Senior Credit Risk Analyst at Enity Bank, you will play a key role in strengthening our data‑driven credit risk capabilities. You will apply hands‑on credit analysis to drive transformation and modernization of the Bank’s underwriting processes with the ambition to automate and simplify while maintaining excellent credit quality and compliance. Your work will directly influence the bank’s financial outcomes and strategic direction.

Key Responsibilities

• Contribute to the design and development of automated and data‑driven credit decisioning.
• Support initiatives focused on digitalisation and process optimisation.
• Apply statistical, econometric and machine learning techniques to enhance model performance and predictive accuracy.
• Conduct data analysis using Python, SQL, SAS or other analytical tools.
• Build and improve scoring models, risk parameters and quantitative credit frameworks.
• Support the Nordic credit process with analysis, risk assessment and preparation of decision materials.
• Ensure alignment with Nordic regulatory requirements and internal risk frameworks.
• Maintain and develop the Bank’s IFRS 9 models (PD, LGD, EAD).
• Produce clear, actionable reports, insights and recommendations for senior management and credit committees.
• Test and validate new models, business rules and system components to ensure robust production use.
• Document, justify and defend model design, assumptions and performance during internal validation processes and external audits.

Qualifications

• Several years of experience in credit risk, quantitative modelling, risk analytics or a related field within banking/finance—experience with mortgages or retail credit is a strong plus.
• Proven experience developing automated credit processes, digital decision flows or data‑driven credit systems.
• Strong understanding of Nordic credit regulations and risk frameworks.
• Solid expertise in quantitative analysis, credit modelling and portfolio analytics, including scoring models, ECL/IFRS 9, and model performance evaluation.
• Academic degree in finance, economics, mathematics, statistics, data science, engineering or another quantitative discipline.
• Strong programming skills in Python, SQL, and/or SAS with the ability to build analytical pipelines and work closely with engineering/data teams.
• Experience managing multiple stakeholders and collaborating across technical and business functions in a regulated environment.
• Excellent communication skills with the ability to present complex concepts to non‑technical stakeholders.

Personal Qualities

• Positive and team‑oriented mindset with a can‑do attitude.
• Proactive and curious, with a strong ability to take initiatives and drive change.
• Committed, with capacity to take own decisions and to independently drive the work forward.

What We Offer

We offer a competitive compensation package complemented by a generous range of benefits and flexibility to support your work‑life balance. For this position, the monthly salary starts at SEK 75,000, with flexibility to offer a higher salary for the right candidate.

Location: Stockholm