Systematic Trading - Python Quant Data Engineer - Vice President
Systematic Trading - Python Quant Data Engineer - Vice President

Systematic Trading - Python Quant Data Engineer - Vice President

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and support fast, reliable data pipelines for trading and research systems.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Why this job: Make a real impact in finance by developing cutting-edge technology solutions.
  • Qualifications: Strong Python skills and experience in quantitative trading systems required.
  • Other info: Dynamic team culture with a commitment to diversity and inclusion.

The predicted salary is between 43200 - 72000 £ per year.

Be an integral part of a technology team that is 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 firmwide 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.

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.

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.

Systematic Trading - Python Quant Data Engineer - Vice President employer: JPMorganChase

J.P. Morgan is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As part of the Equities Electronic Trading team, you will have access to cutting-edge technology and the opportunity to work alongside industry experts, fostering both personal and professional growth. With a strong commitment to diversity and inclusion, J.P. Morgan values the unique contributions of every employee, ensuring a supportive culture that empowers you to make a meaningful impact in the financial services sector.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Systematic Trading - Python Quant Data Engineer - Vice President

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at JPMorgan. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to Python, data pipelines, or quant trading, make sure to share it during interviews. It’s a great way to demonstrate your expertise.

✨Tip Number 3

Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle real-world problems!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.

We think you need these skills to ace Systematic Trading - Python Quant Data Engineer - Vice President

Python
Data Pipeline Development
Data Ingestion
Data Cleaning
Data Storage
KDB/Q
Pandas
NumPy
Quantitative Research
Backtesting Workflows
Machine Learning
Statistical Techniques
Automation
Continuous Delivery
Financial Services Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of a Python Quant Data Engineer. Highlight your experience with data pipelines, Python, and any relevant projects that showcase your skills in quantitative trading.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic trading and how your background makes you a perfect fit for the team. Don’t forget to mention specific technologies or methodologies you’ve worked with.

Showcase Your Technical Skills: Be sure to include any hands-on experience you have with tools like pandas, numpy, or KDB/Q. Mention any projects where you've built or supported data pipelines or trading analytics libraries to demonstrate your expertise.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to the right team. Plus, we love seeing candidates who take the initiative!

How to prepare for a job interview at JPMorganChase

✨Know Your Tech Inside Out

Make sure you brush up on your Python skills and get comfortable with libraries like pandas and numpy. Be ready to discuss your experience with data pipelines and how you've tackled design problems in the past.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in previous roles, especially related to quantitative trading or system design. Highlight how you approached these issues and the impact of your solutions.

✨Understand the Business Context

Familiarise yourself with the financial services industry and J.P. Morgan's role within it. Being able to connect your technical expertise to business outcomes will show that you understand the bigger picture.

✨Engage with the Team

During the interview, ask insightful questions about the team dynamics and ongoing projects. This not only shows your interest but also helps you gauge if the company culture aligns with your values.

Systematic Trading - Python Quant Data Engineer - Vice President
JPMorganChase

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