Quantitative Developer - Real-Time Trade Surveillance

Schonfeld; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading multi-manager financial firm in London seeks an exceptional individual for a quantitative developer role. The candidate will design and implement models for execution governance, build anomaly detection systems, and engage with various teams for real-time trade flow analysis. Ideal applicants have a strong background in Python programming, statistics, and SQL. This position offers a collaborative environment focused on development and inclusion.

Qualifications

• Minimum two years’ experience in a quantitative developer role.
• Familiarity with pandas/polars, scikit-learn, parquet.

Responsibilities

• Design and implement systematic and quantitative models for execution governance and risk mitigation.
• Build and extend an autonomous surveillance platform for real-time coverage.
• Engage with multiple teams within the firm for software measurement and analysis.

Skills

Programming in Python

Statistical problem-solving

Excellent communication skills

Anomaly detection techniques

Predictive analytics

Education

Bachelor’s degree in computer science, mathematics or other STEM discipline

Tools

SQL

PostgreSQL

Job description

A leading multi-manager financial firm in London seeks an exceptional individual for a quantitative developer role. The candidate will design and implement models for execution governance, build anomaly detection systems, and engage with various teams for real-time trade flow analysis. Ideal applicants have a strong background in Python programming, statistics, and SQL. This position offers a collaborative environment focused on development and inclusion.