Lead Python Engineer — Fintech Investment Platform

Understanding Recruitment; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Understanding Recruitment is partnering with a profitable fintech scale-up to hire a Lead Python Engineer who will lead a pod of engineers while staying hands-on in design and development. You’ll shape US investment infrastructure and core financial systems, influencing architecture and delivery as the platform scales.

You’ll work on trading, execution, settlement and investment workflows, using Python, FastAPI, SQLAlchemy and Pydantic in a fast-paced fintech environment.

Qualifications

• Strong commercial experience building backend systems with Python.
• Proficiency with Pandas/NumPy.
• Previous experience leading engineers or acting as a technical lead.
• Strong understanding of architecture, system design and software engineering best practices.
• Experience building and supporting production-grade applications.
• Excellent communication and stakeholder management skills.
• Comfortable operating in a fast-paced, high-ownership environment.

Responsibilities

• Lead a pod of 3-4 engineers whilst remaining hands-on in the codebase.
• Design and build core financial infrastructure supporting US investment products.
• Develop systems covering trading, execution, settlement, brokerage, portfolio and investment workflows.
• Drive architectural decisions and technical direction within your team.
• Mentor engineers through code reviews, technical guidance and best practices.

Skills

Python

Backend development

Leadership

Stakeholder management

Tools

FastAPI

SQLAlchemy

Pydantic

Job description

Understanding Recruitment is partnering with a profitable fintech scale-up to hire a Lead Python Engineer who will lead a pod of engineers while staying hands-on in design and development. You’ll shape US investment infrastructure and core financial systems, influencing architecture and delivery as the platform scales.

You’ll work on trading, execution, settlement and investment workflows, using Python, FastAPI, SQLAlchemy and Pydantic in a fast-paced fintech environment.