Compliance Model Validator | Swedbank

Swedbank; Sundbybergs kommun; On-site; SEK 391,000 - 750,000; Full time

Benefits offered by this job

Pension plan

Share-based reward program

Health insurance (Baltics)

Health allowance (Sweden)

Job summary

Swedbank seeks a professional to validate financial crime risk models, including rule-based and machine learning approaches. You will assess objectives, design, data, governance, and ongoing monitoring, delivering validation reports that support the bank's model risk management.

Location includes Stockholm HQ with collaboration across Riga, Tallinn and Vilnius. Salary details vary by country (Estonia, Latvia, Lithuania) and are disclosed with the posting.

Qualifications

• Degree in a quantitative field (e.g., CS, data science, statistics, economics).
• Experience in assembling and analyzing large datasets.
• Experience in SQL and querying large databases.
• Experience with rule-based and ML models (supervised/unsupervised).
• Experience with Azure.

Responsibilities

• Perform independent model validations of financial crime risk models (rule-based and ML).
• Assess model risk across objective, design, data, governance, and performance.
• Deliver high-quality validation reports for model development and governance in the 1LoD.
• Proactively challenge the 1LoD with evidence-based findings.

Skills

SQL

Python

Data analysis

Model validation

Stakeholder management

Azure

Communication (English)

Education

Quantitative degree

Tools

Python libraries

Job description

Are you passionate about financial crime risk models? In Swedbank you have the opportunity to:

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models.
• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring.
• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD.
• Proactively challenge the 1LoD in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate the compliance risks in scope.
• Be part of our compliance continuous maturity journey and take an active role in supporting the bank in strengthening the tools and models to combat financial crime.

What is needed in this role:

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics.
• Experience in data assembling and analysis of large datasets.
• Experience in SQL, querying and manipulating large databases.
• Experience in rule-based and machine learning models (both supervised and unsupervised learning), including relevant programming skills in Python.
• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest.
• Experience from working in Microsoft Azure.
• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models.
• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience, and to clearly articulate and defend validation findings, methodologies in discussions with stakeholders and senior management.
• Excellent collaboration skills, enabling effective teamwork and good team spirit.
• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines.
• Proactive, engaged, and motivated to continuously learn and deepen your expertise in model risk management and model validation.
• Excellent communication skills in both oral and written English.
• Ready to enjoy working in an international environment with colleagues based in multiple locations.

With us, you can experience:

• Personal and professional growth through self-leadership and continuous development.
• Meaningful work that positively impacts our workplace, our customers, and society.
• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.
• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.
• Enjoy country-specific benefits, including banking offers, a pension plan, our share-based reward program, health insurance in the Baltics and a health allowance in Sweden.

Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager

Location: Stockholm HQ, Riga, Tallinn, Vilnius

Recruiting manager: Fredrik Sandstedt

If you are to be employed in Estonia, please note that the salary offered for this position ranges from 3650-5450 €gross i.e. before taxes.

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3100-4700 € gross i.e. before taxes.

If you are to be employed in Lithuania, please note that the salary offered for this position ranges from 3950-5950 € gross i.e. before taxes.

We work with continuous selection, which means that the position may be filled before the application deadline. As a result, the job advertisement may be closed earlier than expected.

We would like to let you know that a background check may be a part of the process for this role.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.