Associate, Treasury Data Modelling & Analysis
Standard Chartered Bank
Warsaw, Poland
5 d. temu

About Standard Chartered

We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.

To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.

Are you passionate about digital transformation in Treasury?

Join Standard Chartered' s Treasury Modelling and Platforms team in Warsaw to spearhead the digitization of Treasury globally.

Power through challenging projects. Gain a 360 learning experience. Develop communication and collaboration skills in an international workplace.

Learn how to monetize on technology investments. Work alongside best in class programming team on cutting edge solutions dedicated to balance sheet optimization, stress testing and forecasting.

Due to the innovative nature of your work you will be eligible for Intellectual Property tax benefits. We offer flexi working - 2 days in office, 3 days from home and option cater for special arrangements if required.

Treasury Modelling and Platforms journey started 10 years ago in Singapore and Hong Kong, we then rapidly expanded to the Western hemisphere with successful build-up of the Warsaw Hub.

Warsaw has recently become our new headquarters housing 90% of the team including management roles relocated from Singapore.

Our team is truly diversified, English speaking and closely collaborates with teams globally.

Key Responsibility

  • Translating business analytical needs into data requirement / data model, working with technology Data Engineers to design the relevant data extracts as inputs to models and solutions
  • Analysing data extracts from source systems and validating business requirements; working with Data Engineers to enhance the extracts
  • Implementing end-to-end data flow (pipes) in the in-house platform from raw data extract to final results table. This includes ETL, any transformations / stitching of different data set and enrichment with business logic
  • Working with product owner to create business logic / mapping for stitching multiple different sets of data together and / or add business-related attributes
  • Working with technology to build and maintain the relevant database / tables based on the agreed architecture
  • Maintaining and updating business mappings & logic
  • Performing some Excel prototyping work to facilitate requirements settings, design, and implementation
  • Independently conducting deep-dive data analysis to investigate any issues
  • Creating and delivering business-oriented dashboards / reports to share with wider business audiences
  • Periodically updating existing dashboards (i.e., monthly)
  • Document all underlying business mapping methodologies, design, assumptions, and exceptions.
  • Requirements (must have) :

  • 3+ years of experience in data analysis, data architecture, data transformations, building end-to-end in-house data flows (pipes) from source to output, preferably in a banking environment
  • Good knowledge of Python and SQL (other languages advantageous)
  • Outstanding analytical and problem-solving skills
  • Excellent written and verbal communication skills in English to engage with stakeholders globally
  • Ability to work in a fast-paced environment, open-minded and willing to learn new skills (both business and technical knowledge).
  • Advantages (good to have) :

  • Previous experience in end-to-end data extraction, ETL, transformation, and MI building
  • Prior exposure to Treasury and / or Risk in any of the areas : liquidity, interest rate, FTP, capital / RWA and asset / liability management, and ideally with some understanding on balance sheet and banking products.
  • Previous experience working in an agile environment
  • Prior experience with Dataiku data platform or with Balance Sheet Management platforms (Moody's Analytics, RiskPro, QRM, Oracle, etc.
  • or booking platforms (Murex, Kondor, etc.).

  • Tableau / VBA / Power BI knowledge would be advantageous
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