Sr Python Developer

Falconsmartit; Greater London; Híbrido; GBP 75.000 - 100.000; Jornada completa

Descripción de la vacante

Falconsmartit in London is seeking a Sr Python Developer to build backend systems for trading and risk management. You will develop Python applications, implement data processing pipelines, and help design scalable architectures.

The role involves collaborating with quants, traders and risk teams to translate requirements into robust solutions. You will create RESTful services, contribute to CI/CD pipelines, and safeguard high code quality with comprehensive tests.

Formación

• 6–10 years of core Python development experience.
• Strong SQL skills and ability to handle large datasets.
• Experience with Python data libraries (Pandas, NumPy).
• Experience building RESTful APIs with Flask / FastAPI / Django.
• Familiarity with Unix/Linux environments and shell scripting.
• Investment banking / capital markets domain experience is a plus.

Responsabilidades

• Develop Python-based backend applications for trading and risk use cases.
• Build data processing pipelines and automation scripts for workflows.
• Contribute to system design, architecture and scalability decisions.
• Develop and integrate REST APIs and backend services.
• Participate in CI/CD pipelines and deployment processes.
• Support production systems (L2/L3) including debugging and performance tuning.
• Write unit/integration tests and mentor junior developers.

Conocimientos

Core Python development

SQL

Pandas

NumPy

REST APIs

Unix/Linux

Herramientas

Flask

FastAPI

Django

Descripción del empleo

Job Title: Sr Python Developer

Job Location: London, UK /Hybrid

Job type: 6 Months

Job Description:

We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.

Key Responsibilities

Develop and enhance Python-based applications for trading and risk use cases

Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows

Work with large financial datasets to support PnL, risk and reporting requirements

Contribute to system design, architecture and scalability decisions

Collaborate with quants, traders and risk teams to translate business requirements into technical solutions

Develop and integrate REST APIs and backend services

Contribute to CI/CD pipelines and deployment processes

Support production systems (L2/L3) including debugging, enhancements and performance optimization

Write and maintain unit and integration tests. Ensure high code quality and test coverage

Participate in code reviews and mentor junior developers where required

Must-Have Skills

Strong experience in Core Python development (6 10 years)

Strong SQL skills with ability to handle complex queries and large datasets

Experience with Python libraries (Pandas, NumPy) for data processing

Experience building RESTful APIs/services (Flask / FastAPI / Django)

Strong understanding of data structures and performance optimization

Experience working with large-scale data processing and performance optimization

Working knowledge of Unix / Linux environments and basic shell scripting

Domain Experience (Critical)

Experience working in Investment Banking / Capital Markets environments

Hands-on exposure to: Market Risk / CCR / PnL / Trade lifecycle / Reconciliation

Understanding of financial products such as: Derivatives (swaps, futures, options), bonds

Good-to-Have

Exposure to PySpark or large-scale data processing

Experience working with quants or pricing models

Basic scripting (Unix / Bash)

Regards,

Anusha

[e-mail]