Python Full stack Engineer with Financial Domain
Posted 1 day ago by Randstad Digital UK
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The role of Python Full Stack Engineer focuses on developing investment analysis platforms within the financial domain, requiring expertise in Python, SQL, and AWS. Candidates with experience in investment management and financial services will have a competitive advantage. Strong communication skills and familiarity with AI tools in engineering are also essential for success in this high-performing team environment.
Key Responsibilities:
- Develop investment analysis platforms using Python.
- Utilize SQL and AWS for backend development.
- Implement Terraform for infrastructure management.
- Collaborate with investment teams, quants, and analysts.
- Engage in integration with investment management services.
- Support changes to microservices, particularly in C#/.NET.
- Participate in Windows migration work.
Key Skills:
- Proficiency in Python, SQL, and AWS.
- Experience with Terraform.
- Knowledge of C#/.NET is desirable.
- Background in investment management or financial services.
- Strong verbal and written communication skills.
- Ability to work energetically in a high-performing team.
- Familiarity with AI tools in engineering, such as Claude Code and Codex.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role : Python Full stack Engineer with Financial Domain Experience
Location: London,UK
Type : Contract
Job Description:
Python is the key skill needed + SQL + AWS experience + Terraform. e.g. Building investment analysis platforms using Python. C# / .NET is still desirable but not as critical (e.g. more for changes to microservices than new build in C#, Windows migration work). Investment management / FS experience (e.g. working on Investment and fund services and platforms, integration with investment management services, working with Investment teams, quants, analysts) will set candidates apart from non-FS candidates. All candidates need very strong verbal and written communication skills + good energy level to work in a high-performing client engineering team. Knowledge of using AI tools in engineering is very helpful e.g. Claude Code, Codex.