Associate, Treasury Data Modelling & Analysis

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 Haskell 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

• Translate business requirements into data requirement / data model, working with technology. Data Engineers to design the relevant data extracts as inputs to models and solutions.
• Analyse data extracts from source systems and validate if meets business requirements; working with Data Engineers to enhance the extracts.
• Working with product owner to create business logic / mapping for stitching multiple different sets of data together and / or add business-related attributes.
• Implement 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 technology to build and maintain the relevant database / tables based on the agreed architecture.
• Maintain and update all key tables for business mappings & logics.
• Some Excel prototyping work on forecasting using the data set.
• Independently conduct deep-dive data analysis to investigate any issues.
• Propose, create, and deliver business-oriented MI to share with wider business audiences. Run period process to ensure product of these MI (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 inhouse data flows (pipes) from source to output, preferably in a bank environment.
• Proficiency in Python and either R or SQL.
• Outstanding analytics and problem-solving skills.
• Excellent written and verbal communication in English.
• Ability to work in a fast-paced environment, openminded 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.
• Previous experience working in an agile environment.
• Understanding and practical experience in liquidity risk, ALM, banking products and/or balance sheet optimisation.
• 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.).

Apply now to join the Bank for those with big career ambitions.

To view information on our benefits including our flexible working please visit our career pages. We welcome conversations on flexible working.