Python Developer
Xcelyst · London, ENG, GB
Apply directly on Xcelyst’s careers site — no account needed.
About the role
Hi,
We are looking for senior Python Developers 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
- 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
- Strong exposure to enterprise-grade front-office trading and risk platforms (e.g., Quartz, SecDB, Athena, Kanon, Beacon or equivalent), with integration across pricing, risk and trade lifecycle workflows
- 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)
- Prior experience in global banking environments
Experience
- ~9-15 years of experience.
Please share your CV to ipshita.das@xcelyst.com
Pay: £950.00-£1,100.00 per year
Benefits:
- Additional leave
- Casual dress
- Discounted or free food
- Enhanced maternity leave
- Free parking
- Life insurance
- On-site parking
- Unlimited paid holidays
- Work from home
Work Location: Hybrid remote in London
Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.
Skills
- Python
- SQL
- pandas
- NumPy
- Flask
- FastAPI
- Django
- REST
- Linux
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