Senior Python Developer – Trading & Risk (Hybrid London)

Hunter Bond; Greater London; Hybrid; GBP 112.000 - 147.000; Vollzeit

Zusammenfassung

Hunter Bond is seeking Senior Python Developers in a hybrid role in Central London to build backend services for trading and risk platforms. You will design data pipelines, process large financial datasets and deliver risk-focused applications supporting trade lifecycle and regulatory reporting.

The role requires experience with enterprise trading/risk platforms, strong SQL, and proficiency in Pandas/NumPy, plus REST API development. A banking environment background is highly desirable.

Qualifikationen

• Experience with enterprise trading and risk platforms (e.g. Quartz, SecDB, Athena, Kanon, Beacon or similar).
• Strong SQL and large-scale data handling expertise.
• Pandas and NumPy for data processing and analytics.
• REST API development using Flask, FastAPI or Django.
• Strong understanding of performance optimisation and scalable systems.
• Unix/Linux and shell scripting experience.

Aufgaben

• Develop and enhance Python applications for trading and risk platforms.
• Build data pipelines and automation for trade, risk and reconciliation workflows.
• Process large financial datasets supporting PnL, risk and regulatory reporting.
• Contribute to architecture, scalability and system design decisions.
• Partner with quants, traders and risk teams to deliver technical solutions.
• Develop and integrate REST APIs and backend services.
• Maintain high code quality through testing, reviews and best practices.
• Mentor junior developers where required.

Kenntnisse

Python

SQL

Pandas

NumPy

REST API

Unix/Linux

Shell scripting

Data processing

Jobbeschreibung

Hunter Bond is seeking Senior Python Developers in a hybrid role in Central London to build backend services for trading and risk platforms. You will design data pipelines, process large financial datasets and deliver risk-focused applications supporting trade lifecycle and regulatory reporting.

The role requires experience with enterprise trading/risk platforms, strong SQL, and proficiency in Pandas/NumPy, plus REST API development. A banking environment background is highly desirable.