Associate, Treasury Advanced Analytics
- Recruiter
- Standard Chartered Bank
- Location
- Warsaw, Masovia
- Salary
- Competitive
- Posted
- 07 Mar 2023
- Closes
- 04 Apr 2023
- Ref
- 2300003030
- Contact
- Standard Chartered
- Approved employers
- Approved employer
- Job role
- Treasury
- Contract type
- Permanent
- Hours
- Full time
- Experience level
- Part qualified
Role
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).
Responsibilities
- Taking care of BAU ("Business as Usual") processes across various projects in Dataiku platform by preparing input data as well as executing existing Python codes.
- Adjusting/enhancing the existing Python codes to reflect changes in the business logic if needed.
- Supporting deep-dive data analysis to investigate any (data) issues.
- Performing analyses of both input and output datasets in Dataiku to access business impact.
- Liaising with other offshore support teams/subject matter experts to resolve data or methodology related issues.
- Conducting research and effectively communicating validation findings to the team as well as suggesting possible solutions.
- Maintaining and updating business mappings & logic.
- Analysing data extracts from source systems and validating business requirements; working with Data Engineers to enhance the extracts.
- Document all underlying business mapping methodologies, design, assumptions, and exceptions.
Our Ideal Candidate
Requirements (must have)
- 2-3 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.
- Master's degree in Finance, Economics, Engineering, Data Science, Mathematics or similar
- Good knowledge of Python and SQL (other languages advantageous)
- Outstanding analytical and problem-solving skills
- Excellent written and verbal communication skills in English
- 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/Risk/Finace 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.).
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.
Visit our careers website