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- Tasks: Join a tech team to build and enhance top-tier technology products.
- Company: J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Make a real impact in finance with cutting-edge technology.
- Qualifications: Strong Python skills and experience in quantitative trading systems.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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 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.
Sr Lead Software Engineer - Python, KDB, Data employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Lead Software Engineer - Python, KDB, Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common technical questions and scenarios related to Python, KDB, and data pipelines. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This is a great way to demonstrate your expertise in building robust tools and frameworks. We love seeing candidates who take initiative and can show tangible results from their work!
✨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, we’re always looking for passionate individuals who want to be part of our innovative team at J.P. Morgan.
We think you need these skills to ace Sr Lead Software Engineer - Python, KDB, Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, KDB, and data pipelines, as these are key for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about technology and how your background aligns with our mission. Share specific examples of your past projects that demonstrate your problem-solving skills.
Showcase Your Technical Skills: Don’t just list your technical skills; provide context on how you've applied them in real-world scenarios. Mention any experience with quantitative research or trading systems to stand out.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role you’re excited about!
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 KDB/Q and how you've tackled data pipelines in the past. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've independently solved complex design or functionality problems. Think about challenges you've faced in previous roles and how you approached them. This will demonstrate your ability to tackle issues with minimal oversight.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how technology plays a role in trading and analytics. Being able to connect your technical expertise to business outcomes will set you apart from other candidates.
✨Engage with the Team's Vision
Research JPMorgan Chase's Equities Electronic Trading team and their recent projects. Show enthusiasm for their goals and be prepared to discuss how your skills can contribute to their mission of delivering top-tier technology products.
