Sr Lead Software Engineer - Python, KDB, Data

JPMorganChase; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A global financial services firm in Greater London is seeking a Sr Lead Software Engineer to enhance technology products within the Equities Electronic Trading team. The successful candidate will build and support robust data pipelines and research infrastructure, collaborate with trading teams, and require substantial expertise in software applications like Python and KDB/Q. This role is pivotal for designing tools vital for quantitative research, emphasizing strong problem-solving abilities and independence in work.

Qualifications

• Hands-on experience in system design and application development.
• Advanced knowledge in software applications and processes.
• Ability to work independently on functionality problems.

Responsibilities

• Build and support reliable data pipelines for trading systems.
• Work with trading teams to onboard new datasets.
• Design and support research infrastructure for trading.

Skills

Python

Data pipelines

Quantitative research

Financial services IT systems

Machine learning

Education

Academic experience in Computer Science

Computer Engineering

Mathematics

Tools

KDB/Q

Java

C++

Job description

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

As a Sr Lead Software Engineer at JPMorgan Chase within the Equities Electronic Trading team, you will play a crucial role in improving, developing, and delivering top‑tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem‑solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.

Job responsibilities

• Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low‑latency access for research and trading.
• Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.
• Design and build robust tools and frameworks to support quantitative research and production trading.
• Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores).
• Build and support research and trading analytics libraries (e.g. markouts, strategy analytics).
• Serve as a function‑wide subject matter expert in one or more areas of focus.
• Actively contribute to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies.

Required qualifications, capabilities, and skills

• Design and implementation of front‑office systems for quant trading.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy.
• Experience with KDB/Q.
• Knowledge of data pipelines, market data processing and backtesting workflows.
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines.
• Ability to tackle design and functionality problems independently with little to no oversight.
• Proficiency in automation and continuous delivery methods.
• In‑depth knowledge of the financial services industry and their IT systems.
• Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
• Knowledge of machine learning, statistical techniques and related libraries.

Preferred qualifications, skills and capabilities

• Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets.
• Additional knowledge of Java / C++ is a strong plus.
• Practical cloud‑native experience is a plus.
• Practical cloud experience is a plus.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit the FAQs for more information about requesting an accommodation.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.