Junior Python Developer – Risk Data Services (Business-Facing)

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

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 organization.

The 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 / business analyst capacity (gathering requirements, translating 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 both 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