Senior Python Quant Dev – Risk (Hybrid, London)

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

Job summary

A financial services firm in Greater London is seeking a Quantitative Risk Engineer to develop and maintain risk models. The role involves working with Python for model development, collaborating with teams for requirements, and automating data processes in a hybrid environment. Applicants should have around 3 years of experience in Python and SQL, as well as familiarity with GitLab. This opportunity offers hands-on exposure to industry-standard risk modeling concepts and tools while promoting a collaborative and inclusive culture.

Qualifications

• 3 years' experience with Python in data or risk-related roles.
• Solid SQL skills for data wrangling.
• Practical experience with Git and CI/CD.

Responsibilities

• Contribute to the design and deployment of risk models.
• Refactor and harden existing code paths with testing.
• Automate recurring processes and controls.

Skills

Python (pandas, NumPy)

SQL

GitLab

Model validation

Risk modeling concepts

Tools

MongoDB

Google Cloud Platform (GCP)

Looker

Vertex AI

Job description

A financial services firm in Greater London is seeking a Quantitative Risk Engineer to develop and maintain risk models. The role involves working with Python for model development, collaborating with teams for requirements, and automating data processes in a hybrid environment. Applicants should have around 3 years of experience in Python and SQL, as well as familiarity with GitLab. This opportunity offers hands-on exposure to industry-standard risk modeling concepts and tools while promoting a collaborative and inclusive culture.