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Sr Python Developer

FalconSmartIT
London

Quick apply

Job details

Qualifications

Data structures
NumPy
UNIX
Bash (Unix shell)
SQL
Pandas
REST
Scripting
Django
APIs
Linux
Flask
Python
Shell Scripting

Full job description

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 (610 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

[email protected]

Quick apply

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