senior python developer - digital trading analytics.

Randstad UK

Charing Cross, United Kingdom

8 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

£ 121K

Job location

Charing Cross, United Kingdom

Tech stack

Algorithmic Trading

Amazon Web Services (AWS)

Automation of Tests

Azure

Cloud Computing

Code Review

Databases

Continuous Integration

Information Engineering

Software Design Patterns

DevOps

Python

PostgreSQL

Microsoft SQL Server

Object-Oriented Software Development

Performance Tuning

Software Engineering

SQLAlchemy

Parquet

Data Processing

Pandas

Kubernetes

Information Technology

Data Delivery

Docker

Jenkins

Job description

We are looking for a Senior Python Developer to design, build, and maintain high-performance, scalable solutions supporting financial market analytics. This is a high-impact role sitting at the intersection of complex data engineering and front-office trading systems. You will play a key role in shaping engineering practices, guiding architectural decisions, and leading junior engineers to deliver business-critical solutions.
Financial Engineering: Design and deploy scalable, high-performance software for data processing and trading analytics.
Technical Leadership: Lead architectural decisions, conduct rigorous code reviews, and mentor junior engineers.
Stakeholder Collaboration: Partner with Traders, Quants, and Product Managers to translate market requirements into robust technical solutions.
DevOps Excellence: Drive CI/CD automation, TDD/BDD practices, and containerised deployments via Kubernetes.
Performance Tuning: Diagnose and resolve bottlenecks in production systems to ensure low-latency data delivery.

Requirements

Python Mastery: Expert-level Python 3.9+ (Design Patterns, OOP, logical data modelling, pandas, SQLAlchemy).
Data Engineering: High-scale workload experience using Parquet or Arrow.
Database Expert: Mastery of SQL Server or PostgreSQL (tuning, joins, transactions, and complex aggregations).
Cloud & Infrastructure: Hands-on experience with AWS or Azure, Docker, and Kubernetes (Helm, StatefulSets).
Automation: Proficiency in CI/CD pipelines (Azure DevOps/Jenkins) and Python test automation., * Background: 7+ years of professional software development experience.
Domain: Proven track record within Financial Services (Investment Banking, Hedge Funds, or FinTech).
Education: Bachelor's degree or higher in Computer Science, Engineering, or a related quantitative field.
Communication: Exceptional ability to engage with business stakeholders and thrive in a fast-paced environment.