Python Developer – Risk Data Pipelines (Hybrid)

Lorien; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Lorien in London is seeking a Python Developer for the Risk Data Services team, joining an Agile SAFe environment to help build a data integration platform underpinning risk calculations.

You’ll translate business requirements into scalable Python solutions, collaborating with risk analysts and product owners while improving data pipelines and data warehouse interactions to support decision-making across the organisation.

Qualifications

• 2+ years of Python development experience.
• Business-facing experience translating requirements into solutions.
• Object-oriented programming.
• Data structures and scalable application design.
• Experience with SQL and relational databases.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with technical and non-technical stakeholders.
• 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.

Responsibilities

• 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

Skills

Python

Business-facing

OOP

Data structures

SQL

Analytical

Communication

Financial services

ETL

Agile

Job description

Lorien in London is seeking a Python Developer for the Risk Data Services team, joining an Agile SAFe environment to help build a data integration platform underpinning risk calculations.

You’ll translate business requirements into scalable Python solutions, collaborating with risk analysts and product owners while improving data pipelines and data warehouse interactions to support decision-making across the organisation.