Data Stewards in Financial Instruments at Swedbank

Are you passionate about understanding the mechanisms behind financial instruments, while also having a natural aptitude for how data is structured, flows and is controlled? Swedbank is in an exciting phase of expansion and is now strengthening its Capital Markets and financial instruments domains. We are looking for someone who wants to combine their analytical skills from studies in, for example, financial mathematics or engineering physics with a genuine interest in data management.
About the role
You will join the Market Data team, part of Capital Optimisation, where they work closely with trading and risk management to strengthen the bank’s data foundations. As a Data Steward, you will play a key role in structuring and governing the team’s financial data to enable better decision-making and automation throughout the bank.
You will be part of a team of 5 people and one consultant responsible for service ownership of platforms and data feeds.
What we offer
At Swedbank, you will experience personal and professional growth through self-leadership and continuous development.
Swedbank offers meaningful work in an open and collaborative culture that encourages teamwork.
A fixed-term position through Academic Work with a fixed monthly salary. There are good opportunities for the right candidates to be recruited directly by Swedbank!

Responsibilities
The Domain Data Steward role involves structuring and managing critical data within financial instruments to enable better decision-making and efficiency in the bank.
Define and maintain data definitions and governance for critical data elements.
Analyse and document data flows (lineage) in systems that support pricing, risk and PnL.
Establish and implement data quality rules together with the business and system owners.
Collaborate with Trading, Quant teams, Finance, Risk and IT to increase transparency.
Initiate work on large and complex domains for financial instruments, currencies and derivatives.
Contribute to the implementation of data products that enable advanced analysis and automation.

We are looking for someone who has
A university degree in finance, data science, computer science or economics.
A basic understanding of data governance and data management.
A good understanding of financial instruments such as bonds, shares, currencies and derivatives.
Strong analytical skills and an interest in complex data structures.
The ability to communicate fluently in Swedish and English.
Good knowledge of SQL, data analysis and data modelling.

It is an advantage if you have
Courses in financial mathematics.
Experience working with data governance or data quality requirements.
Knowledge of platforms such as Databricks, Snowflake or specific trading systems such as Calypso.

To succeed in the role, you have the following personal qualities:
Adaptable
Goal-oriented
Sociable
Well-organised
Responsible
Intellectually curious

Our recruitment process
This recruitment process is managed by Academic Work, and our client requests that all questions about the position are sent to Academic Work.
We review applications on an ongoing basis and will take down the advert once enough candidates have reached the final stage of the recruitment process. A CV is required when applying. We do not use a covering letter as a selection method, so there is no need to attach one. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are tools to help identify the candidate with the greatest potential for the position and to promote equality, diversity and a fair recruitment process.