Senior Options Middle Office Specialist (Python/SQL) London

Prudence Holdings; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading global crypto company located in London is seeking a technically strong Senior Associate to join its Middle Office – Options team. The role focuses on managing operational risk and ensuring trade integrity. Ideal candidates will have at least 4 years of experience in financial operations, a bachelor's degree, and fluency in Python and SQL. This position is perfect for someone who thrives in high-velocity trading environments, enjoys problem-solving with data, and is enthusiastic about automated reconciliation tools and risk frameworks.

Benefits

Competitive salary

Apple equipment

Comprehensive benefits package

Work from a modern office 4 days a week

Remote work flexibility (20 days/year)

Qualifications

• 4+ years of experience in financial operations, ideally with options or structured products.
• Demonstrated experience building tools for trade capture.
• Working knowledge of options pricing and exposure calculations.

Responsibilities

• Build and maintain automated reconciliation tools.
• Design and implement risk and P&L attribution frameworks.
• Monitor margin utilization and risk constraints.
• Develop monitoring scripts and alerts for operational anomalies.

Skills

Fluency in Python

Fluency in SQL

Experience with pandas

Experience with NumPy

Experience with Jupyter

Attention to detail

Strong communication skills

Education

Bachelor’s degree in a technical discipline

Tools

Automation frameworks

Job description

A leading global crypto company located in London is seeking a technically strong Senior Associate to join its Middle Office – Options team. The role focuses on managing operational risk and ensuring trade integrity. Ideal candidates will have at least 4 years of experience in financial operations, a bachelor's degree, and fluency in Python and SQL. This position is perfect for someone who thrives in high-velocity trading environments, enjoys problem-solving with data, and is enthusiastic about automated reconciliation tools and risk frameworks.