Corporate Finance Internal Bank Treasury Technologies (IBT) comprises all activities related to the development, maintenance, and enhancement of banking systems and financial technologies used within the Corporate Finance organization. The team focuses on optimizing the company’s digital banking solutions, the managing of internal transactions, security protocols, and ensuring system integration with external financial institutions.

Internal Bank Treasury Technologies (IBT) provides services in the areas of transaction processing, banking infrastructure management, data security, financial systems analysis, automation of banking workflows, and support for banking compliance and reporting standards. Additionally, IBT plays a key role in treasury operations, managing systems for cash flow forecasting, liquidity management, and financial risk mitigation. This includes support for cash management, funding operations, structured finance, and treasury reporting, ensuring seamless interaction between internal systems and external banking networks.

The team also oversees relationships with external technology vendors and financial institutions to ensure that internal banking and treasury platforms align with business needs, regulatory requirements, and best practice 

 

We are seeking an experienced AI Developer / Data Scientist to join our dynamic team in the finance sector, with a focus on leveraging cutting-edge AI tools such as LLM (Large Language Model) agents, LangChain, and cloud-based solutions like Azure Machine Learning Studio to drive innovation in financial services. 

The successful candidate will develop AI-driven solutions for areas such as treasury management, financial modelling, and process automation. An ideal candidate for this role has experience with Python, SQL, C#, and working knowledge of MS Azure, MS SQL, Entity Framework, MVC, and Azure Data Factory (ADF) to create intelligent and scalable solutions.

AI Model Development & Deployment:

• Develop and implement AI/ML models using Azure ML Studio and deploy them across financial operations such as treasury management.
• Utilize LLM agents and tools like LangChain to create AI systems that process large-scale financial data and automate decision-making.
• Design predictive analytics solutions to forecast financial trends, manage liquidity, and optimize investment strategies.

Integration with Microsoft Technologies:

• Develop applications that integrate AI models into existing systems using C#, MVC, and Entity Framework, enabling end-users to interact with AI-driven insights within financial platforms.
• Work with MS Azure to build, train, and deploy AI models and applications, ensuring high availability, scalability, and security across cloud infrastructure.
• Build data pipelines using Azure Data Factory (ADF)  and API’s to enable continuous model updates and real-time data streaming.

Data Engineering:

• Extract, clean, and preprocess financial data from various sources, including MS SQL, market APIs, and legacy systems to support AI model development.
• Write optimized SQL queries to manage and manipulate large data sets, enabling seamless access to data for AI and ML models.
• Work closely with data engineers to maintain robust data pipelines for real-time financial analytics.

 You have:

• M.Sc/Bachelor in Data Science, Artificial Intelligence, Mathematics, or a related field 
• Expertise in programming languages like Python, SQL, Java, and C#.
• +5 years of experience in Software development, ideally within the financial or FinTech sector
• Hands-on experience with AI tools like LLM agents, LangChain, and cloud platforms such as Azure Machine Learning Studio.
• Experience working with Azure (ML Studio, ADF, DevOps) and MS SQL Server.
• Familiarity in Entity Framework, MVC framework for web development.
• Familiarity with data pipeline development using Azure Data Factory.
• Experience designing and integrating RESTful APIs
• Experience in development in finance, treasury or banking highly desirable.
• Good communication skills (also with non-technical people)
• Fluent in both spoken and written English
• Ability to work in a Hybrid mode

What we can offer you?

• Stable team with multiyear experience
• Full end-to-end ownership of your solutions
• Working with modern code base and CI/CD pipeline
• Freedom to experiment and take calculated risks
• Global and multicultural team

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark