Job Description
The main objective of this role is to actively participate in Treasury innovation and digitalisation programme, through creating and embedding in-house data-driven solutions for stakeholders globally. Our goal is to help influence top-level decision-making process. We aim to achieve that by providing critical, data-driven business insights via developing and introducing advanced analytical tools. This requires combining technical know-how (e.g. systems, data, programming) with a commercial mindset (business opportunities, regulatory constraints).
The successful candidate will be part of an agile squad, delivering data modelling for balance sheet optimisation. The candidate will be responsible for data transformation and architecture, combining all necessary inputs into one aligned and complete data stream needed to deliver all required business simulations.
Responsibilities
- 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.
- Translate business requirements into data model, working with technology Data Engineers to design the relevant data extracts as inputs to models and solutions.
- Some Excel prototyping work on forecasting using the data set.
- 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.
Our Ideal Candidate (must have)
- 3+ years of experience in 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.
- Strong background in computer science and engineering.
- 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 optimization.
- 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.).
You will be offered
- Career development in a fast-growing company with a clear business strategy.
- Opportunity to expand international experience and build global professional relations.
- Competitive benefits package (incl. health & life insurance, pension plan, meal & sports cards).
- 3 days of paid volunteering leave our employees can use to support the cause of their choice.
- Convenient location (next to Rondo Daszyńskiego) with subway, tram and bus lines.
- Comfortable office space with chillout areas, free coffee/tea & fruit supply.
- Contribution to building our newest Global Business Services centre.
- 26 days of leave per year for all the employees.