Senior Python Quant Developer: Risk Modeling & Automation

Barclay Simpson; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A financial services consulting firm in the City of London seeks a Python Model Developer to contribute to the development and automation of quantitative risk models. The ideal candidate will have around 3 years of experience in Python and SQL, along with an understanding of risk domains such as credit or market. This role offers a hybrid working setup with three days in the office, fostering collaboration and continuous improvement.

Qualifications

• Approximately 3 years of experience with Python in a data or risk/quant adjacent role.
• Solid SQL skills for data wrangling and reconciliation.
• Practical Git experience, familiarity with GitLab or similar CI/CD.

Responsibilities

• Contribute to the design, development, and deployment of Python-based risk models.
• Refactor existing code paths and add unit tests.
• Automate recurring processes and collaborate with commercial teams.

Skills

Python programming

SQL for data wrangling

Source control (Git/GitLab)

Risk domain understanding

Tools

pandas

NumPy

GitLab

MongoDB

GCP

Looker

Vertex AI

Job description

A financial services consulting firm in the City of London seeks a Python Model Developer to contribute to the development and automation of quantitative risk models. The ideal candidate will have around 3 years of experience in Python and SQL, along with an understanding of risk domains such as credit or market. This role offers a hybrid working setup with three days in the office, fostering collaboration and continuous improvement.