London | Hybrid | 50% on site
We’re looking for a Python Developer with strong analytical and business‑facing skills to join our Risk Data Services team. This is a great opportunity to work at the heart of a global investment bank, supporting critical risk systems that drive decision‑making across the organisation.
About the Team
You’ll be joining the Data Services team within Risk ERA Systems, responsible for the end‑to‑end data integration pipeline — from front‑office systems through to the risk data warehouse. This data directly feeds risk calculations, reporting, and decision‑making, making your role central to the organisation.
Role
As part of a dynamic Agile (SAFe) team, you’ll help build and enhance a data integration platform that underpins market and counterparty risk calculations. You’ll work closely with risk analysts and product owners, translating business requirements into scalable, high‑performance Python solutions — so strong business analysis capability is essential alongside your technical skills.
What You’ll Be Doing
- Designing, developing, and maintaining Python‑based data processing applications.
- Building data pipelines to ingest, transform, and validate large data sets.
- Collaborating with business stakeholders to analyse requirements and define technical solutions.
- Rapid prototyping to test new concepts and improve delivery speed.
- Optimising performance and ensuring reliability of data integration processes.
- Working with SQL and data warehouse technologies.
- Identifying issues, debugging, and improving system quality.
- Supporting continuous improvement within an Agile team.
What We’re Looking For
- 2+ years of Python development experience.
- Proven ability to work in a business‑facing or business analyst capacity (gathering requirements, translating into solutions).
- Object‑oriented programming and strong data‑structure knowledge.
- Experience with SQL and relational databases.
- Strong analytical and problem‑solving skills.
- Ability to communicate effectively with both technical and non‑technical stakeholders.
Desirable
- Exposure to financial services, risk, or data platforms.
- Understanding of data pipelines / ETL processes.
- Experience with Agile / Scrum environments.
- Knowledge of market or counterparty risk.
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