Senior Quantitative Analyst ensuring model quality for credit risk within SEB's CRO organization. Lead data analysis and collaborate with experienced professionals across Nordic and Baltic countries.
Responsibilities
You will be a part of a professional team within SEB Group Chief Risk Officer (CRO) organization that ensures quality of models used for measuring credit risk.
We conduct in-depth reviews of the models to ensure quality performance by assessing model design and modelling methodologies, performance from the statistical point of view, data quality, implementation, regulatory compliance, and usage.
You will lead or independently perform data retrieval, analysis, and interpretation from diverse sources, assess model performance from both quantitative and qualitative perspectives.
Drive the development of model validation frameworks and automation of validation processes to ensure robust, insightful and high-quality analyses.
You’ll be empowered to introduce new validation tools or enhance existing ones, fostering innovation and efficiency.
Requirements
A strong academic background in statistics, mathematics, data science, econometrics, physics, engineering, or a related field
5+ years of experience in data analysis, credit risk modelling, or model validation
Proficiency in statistical/programming tools (R, Python) and advanced data handling skills
Proven ability to take ownership and deliver high-quality work independently
Strategic and analytical mindset with the ability to translate theory into impactful solutions
A proactive and collaborative team player, eager to share expertise and mentor others
Excellent communication and writing skills (English is the main working language).
Benefits
Entrepreneurial Scandinavian environment: international working environment, empowering culture, friendly and welcoming teammates.
Growth culture: opportunity to grow professionally by contributing to large-scale, high-impact initiatives, local and international internal mobility possibilities, put an impact on social or environmental issues.
Modern environment: innovative company in forefront of technology, challenging, cutting-edge work, excellent office environment, agile and modern ways of working.
Job title
Senior Quantitative Analyst, Credit Risk Model Validation
Senior Treasury Quantitative Analyst developing and validating quantitative models for risk management at United Community Bank. Collaborating with teams to enhance decision - making processes.
Data Analyst Intern supporting various projects in the Transportation/Supply Chain organization at CHS. Collaborating with business and IT professionals in a hybrid work environment.
Data Analyst developing innovative BI solutions at Keyrus in Bordeaux. Engaging in exciting projects and collaborating with diverse teams to transform data into actionable insights.
Product Data Analyst monitoring and analyzing product performance at Veepee. Collaborating with product teams and marketing to improve user experience and conversion.
Senior Analytics Manager leading data analytics initiatives to inform strategic decisions at KeyBank. Enhancing client and employee experiences through quantitative and qualitative research.
Data Analyst supporting global energy transition by developing and managing dashboards for diverse data insights. Collaborating across teams to scope and execute data strategies for Aurora's software solutions.
Data Analyst supporting behavioral health initiatives by analyzing data for various programs in Detroit. Involves data collection, reporting, and collaboration with community partners.
Data Analytics and Tracking Specialist working in a cutting - edge AI marketing agency. Collaborating with stakeholders to implement data - driven solutions and optimize marketing performance.
Analyst developing data solutions for Minsait in the Cards/Client Experience Department. Focus on optimizing workflows and increasing efficiency with strong analytical skills.
Mid - Level Systems and Data Analyst for Boeing, supporting logistics and transportation solutions. Engaging with business stakeholders to define requirements and enhance system functionalities.