Senior Quant Data Engineer: Cloud Pipelines & Analytics

London Stock Exchange Group; United States; On-site; USD 125,000 - 209,000; Full time

Benefits offered by this job

Annual Wellness Allowance

Paid time-off

Medical

Dental

Vision

Flex Spending & Health Savings Options

Prescription Drug plan

401(K) Savings Plan

Company match

Basic life insurance

Disability benefits

Emergency backup dependent care

Job summary

London Stock Exchange Group is seeking a senior quantitative developer to design and maintain data pipelines for research, analytics and production. You will work with ISD Research, Product Management and DataOps to deliver robust, scalable solutions.

The role requires cloud experience (AWS/Azure), Python expertise, and leadership to coordinate a team of developers while advancing the business through data-driven insights.

Qualifications

• Strong programming background with Python and data processing experience.
• Experience building and maintaining data pipelines for large datasets.
• Familiarity with cloud platforms (AWS/Azure) and data warehouse technologies.

Responsibilities

• Design, develop, and maintain quantitative data processing pipelines.
• Build and optimize data workflows for large-scale financial datasets.
• Work within AWS and Azure cloud environments using S3, Lambda, EC2, Databricks, and Data Factory.
• Collaborate with quantitative analysts, data scientists, and business stakeholders.
• Implement best practices for code versioning, testing, and CI/CD.

Skills

Strong leadership skills

Analysis and problem-solving skills

Finance domain knowledge

Education

Technical degree in Physics, Computer Science, Engineering, Statistics or Mathematics

Tools

Python

Linux

PySpark

AWS

Azure

Databricks

Snowflake

ETL tools

Job description

London Stock Exchange Group is seeking a senior quantitative developer to design and maintain data pipelines for research, analytics and production. You will work with ISD Research, Product Management and DataOps to deliver robust, scalable solutions.

The role requires cloud experience (AWS/Azure), Python expertise, and leadership to coordinate a team of developers while advancing the business through data-driven insights.