Location
London Area, United Kingdom
Salary
Not specified
Type
contract
Posted
Today
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)
- Prior experience in
global banking environments
Experience
- \~7–12 years of experience
Note: Candidates without capital markets / risk / trading domain experience will not be considered
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