<div>Are you an innovative, results-driven Senior Developer with a passion for data engineering and experience in AI and machine learning? Do you want to be at the forefront of building transaction monitoring systems that leverage advanced AI and ML to detect financial anomalies and combat economic crime? If you're ready to solve complex problems with cutting-edge technology, we have the perfect opportunity for you!
At SEB, we’re not just a bank—we’re a tech-driven organization leveraging AI, cloud technology, and machine learning to build solutions that safeguard our financial systems. Join us to help design next-gen solutions that protect financial institutions and help us fight financial crimes.
About the Role:
As a Senior Developer with a strong background in data engineering and Data Science you will take a pride in building Transaction Monitoring Systems within SEB’s Financial Crime Prevention Department. In this role, you will design and implement data pipelines, ML models, and AI-powered anomaly detection systems that analyze vast amounts of real-time transaction data to detect suspicious activities.
Your work will directly contribute to enhancing our ability to prevent financial crimes such as money laundering and fraud using powerful ML algorithms and advanced data engineering & science techniques.
What You Will Be Doing:
- Design and build scalable data pipelines to process and analyze massive amounts of real-time transaction data in Google Cloud Platform (GCP).
- Develop and deploy machine learning models that detect anomalies and identify suspicious transactions, leveraging AI to improve the precision and effectiveness of transaction monitoring.
- Optimize and tune ML models for high-performance anomaly detection workflows that are both fast and accurate.
- Collaborate with cross-functional teams to design and implement AI-driven solutions that scale across the bank’s systems.
- Apply best practices in AI & ML development, including model validation, deployment pipelines, and continuous integration.
- Drive innovation by integrating AI and ML techniques into our existing transaction monitoring systems, improving the ability to detect complex financial crimes.
- Lead technical discussions and mentoring other team members, fostering an environment of collaboration, code quality, and continuous learning.
What We Believe You Bring to the Table:
- A relevant degree and strong experience in data engineering & data science, particularly with large-scale data pipelines and cloud architectures.
- Experience with AI and machine learning algorithms, particularly in the areas of anomaly detection and pattern recognition applied to financial transactions.
- Proven expertise in with hands-on experience using data processing framework.
- Hands-on experience with data lakes/warehouses and GCP, including Bigtable, BigQuery, Cloud Pub/Sub, Dataflow, and other relevant tools.
- Experience with machine learning frameworks (such as TensorFlow, PyTorch, Scikit-learn, or similar).
- Strong understanding of containerization and CI/CD pipelines, and modern software development paradigms.
- Experience in applying AI/ML models in production environment.
- Previous experience in the financial industry is an advantage but not required.
- A proactive mindset, with the ability to take ownership of complex tasks and drive innovation in a fast-paced environment.
- A passion for working in a collaborative and agile development environment.
What We Offer You:
- Cutting-edge work with AI/ML: Get the chance to work on innovative real-time systems that use AI and machine learning to drive significant impact in the financial sector.
- Agile and modern work culture, with a focus on collaboration and continuous improvement.
- Two days remote work flexibility and flexible work hours, empowering you to balance your professional and personal life.
- A flat organizational structure with an open environment for sharing ideas, opinions, and technical insights.
- The opportunity to work on high-impact projects that help detect and prevent financial crimes at scale.
- A company culture that values, diversity, innovation, and inclusivity, where your voice matters.
Do You Want to Join Us?
If you believe you meet our criteria and you’re ready to make a real difference in the fight against financial crime, we’d love to meet you!
Application Deadline: Apply by 15th May 2025. Applications will be reviewed on a rolling basis, so apply early!
For questions about the role, contact Shankar Gautam at +46 70 762 12 92.
Please be aware that our final candidates undergo background checks, a process that includes for example identity control, verification of qualifications, credit checks, company engagements and criminal records checks. In some cases, we also apply random drug checks.
Learn More About Working at SEB:
At SEB, we believe that inclusion and diversity are key to our success. We are committed to creating a workplace where every employee feels valued, heard, and empowered—regardless of their background, identity, or beliefs.