Senior Lead Software Engineer - Python / Credit Technology Data

JPMorgan Chase & Co.; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading global financial services firm in Greater London is seeking a Senior Lead Software Engineer to enhance and deliver exceptional technology products within its Credit Technology team. The role involves developing scalable data solutions for various financial products while leading cross-functional teams. Candidates should possess strong skills in Python, system design, and software engineering, with over 5 years of front office technology experience. This position offers a chance to innovate within one of the industry's premier trading platforms.

Qualifications

• 5+ years of experience in front office technology and financial data landscape.
• Hands-on practical experience in system design and operational stability.
• Experience leading cross-functional teams of technologists.

Responsibilities

• Develop data solutions for Credit Securities, Derivatives and Exotics products.
• Drive development of software components for trading platforms.
• Introduce new technologies to improve operational stability.

Skills

Python

Software engineering concepts

Object-oriented concepts

Data engineering

Creative problem-solving

Education

Degree in Computer Science, Computer Engineering, Mathematics, or a related field

Tools

Oracle

Postgres

RDBMS

KDB+

Vertica

AWS

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineerat JPMorgan Chase within the Commercial and Investment Bank's Credit Technology team - you will lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

The successful candidate will focus on development of our strategic data platform and partner closely with our business stakeholders, quantitative research partners and broader technology team. The team is responsible for developing our data platform and integrating data solutions with our trading platform used across our global Credit Trading business. You will be driving development of software components for the firm’s state-of-the-art technology products in a secure, stable, and scalable way.

Job responsibilities

• Develop data solutions across both real-time and end of day business needs for Credit Securities, Derivatives and Exotics products.
• Develop innovative software solutions to deliver scalable and reliable front office data services.
• Accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
• Introduce new technologies and solutions to increase operational stability and productivity.
• Influences peer leaders and senior stakeholders across the business, product, and technology teams.
• Designs and develops with consideration of upstream and downstream systems and technical implications.
• Learns and applies system processes, methodologies, and skills for the development of secure and stable systems.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Expert applied experience in front office technology and financial data landscape.
• Strong understanding of Python and object-oriented concepts.
• Experience developing or leading cross-functional teams of technologists.
• Hands‑on practical experience in system design, data engineering, application development and operational stability.
• Creative, quick‑thinking, pragmatic, with an aptitude for solving problems with technology and an ability to quickly translate requirements into a sound technical design and implementation.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
• Understanding of Credit or similar financial markets products.
• Experience across one or more database technologies: RDBMS (e.g. Oracle, Postgres), Time-series Databases (e.g. KDB+, Vertica).
• Experience in AWS solutions and services beneficial.