Senior Python Developer – Trading & Risk (FT, No C2C)

Sr Python Developer – Trading / Risk Platforms

Employment Type: Full-Time

Experience: Approximately 7–12 years

Domain: Investment Banking / Capital Markets / Trading & Risk

Job Overview

We are looking for a Senior Python Developer with strong hands-on experience in trading and risk management platforms within an investment banking or capital markets environment.

The role will focus on developing backend applications, data processing pipelines, APIs, and automation supporting risk calculations, trade workflows, PnL, reconciliation, and financial reporting .

Candidates without capital markets, trading, or risk domain experience will not be considered.

Key Responsibilities

• Develop and enhance Python-based applications supporting trading and risk use cases.
• Build data processing pipelines and automation scripts for trade, risk, and reconciliation workflows.
• Work with large financial datasets supporting PnL, risk, and reporting requirements.
• Contribute to system design, architecture, scalability, and performance optimization .
• 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 .
• Provide L2/L3 production support , including troubleshooting, enhancements, and performance optimization.
• Write and maintain unit and integration tests while ensuring high code quality and test coverage.
• Participate in code reviews and mentor junior developers when required.

Must-Have Skills

• 6–10 years of strong Core Python development experience.
• Strong SQL skills, including complex queries and large datasets.
• Hands-on experience with Python data-processing libraries such as Pandas and NumPy .
• Experience developing RESTful APIs/services using Flask, FastAPI, Django, or similar frameworks.
• Strong understanding of data structures, algorithms, and performance optimization .
• Experience working with large-scale data processing and performance optimization.
• Working knowledge of Unix/Linux environments and basic shell scripting.

Critical Domain Experience

Candidates must have hands-on experience within Investment Banking, Capital Markets, Trading, or Risk environments.

Strong exposure to one or more of the following is required:

• Market Risk
• Counterparty Credit Risk (CCR)
• P&L / PnL
• Trade Lifecycle
• Trade Reconciliation
• Risk calculations and reporting

Candidates should also understand financial products such as:

• Derivatives
• Swaps
• Futures
• Options
• Bonds

Good-to-Have Skills

• Experience with PySpark or other large-scale data-processing technologies.
• Exposure to quantitative development or pricing models .
• Strong Unix/Bash scripting experience.
• Previous experience working in global banking environments .
• Experience collaborating directly with quants, traders, and risk professionals .

Ideal Candidate Profile

The ideal candidate is a strong Python backend developer who also understands how trading and risk platforms work in a financial-services environment. They should be comfortable working with large datasets, financial calculations, APIs, production systems, and cross-functional teams.

Critical Screening Criteria

Python Development + Capital Markets/Trading/Risk Domain Experience are mandatory.

Candidates who have strong Python skills but no hands-on investment banking, capital markets, trading, or risk experience should not be submitted.