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For Companies At a Glance
- Tasks: Join an agile team to enhance and deliver cutting-edge trading technology.
- Company: JPMorgan Chase, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, career growth, and a diverse, inclusive work culture.
- Why this job: Make a real impact in the finance world using your Python skills.
- Qualifications: 5+ years in software engineering with strong Python expertise.
- Other info: Opportunity to work with advanced technologies and contribute to a dynamic team.
The predicted salary is between 48000 - 72000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. Be an integral part of an agile team that is constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Python Quant Dev Associate at JPMorgan Chase within the Systematic Equities Trading Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities:
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Partner closely with research and trading teams to build and support integrated alpha research and backtesting platform.
- Design and build robust tools and frameworks to support quantitative research and production trading.
- Design, build and support critical research infrastructure (e.g. backtesting frameworks, strategy containers, high performant and scalable simulation environments, feature and strategy signal stores).
- Develop interfaces and integration points between Python research environments and Java-based execution systems.
- Build and support research and trading analytics libraries (e.g. markouts, strategy analytics).
- Serves as a function-wide subject matter expert in one or more areas of focus.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
- Adds to the team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced in one or more programming language(s) - Strong expertise in Python.
- Comfortable with scientific & dataset libraries such as pandas, numpy.
- Design and implementation of front-office systems for quant trading.
- 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.
- In-depth knowledge of the financial services industry and their IT systems.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.
- Knowledge of machine learning, statistical techniques and related libraries.
Preferred qualifications, capabilities, and skills:
- Additional advanced knowledge of Java / C++ is a strong plus.
- Practical cloud experience is a plus.
- Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets.
- Experience with KDB/Q, shell scripting are assets.
Systematic Equities Trading - Python Quant Developer- Senior Associate in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Equities Trading - Python Quant Developer- Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to quantitative trading. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in finance and trading. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Systematic Equities Trading - Python Quant Developer- Senior Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant projects you've worked on, especially those related to quantitative trading or financial services.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Be specific about your experience with agile teams and any tools or frameworks you've used in your previous roles.
Showcase Your Technical Skills: Don’t just list your technical skills; provide examples of how you've applied them in real-world scenarios. Mention any experience with data pipelines, backtesting workflows, or automation methods that align with our needs.
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. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with libraries like pandas and numpy. Be ready to discuss your past projects and how you've used these tools to solve real-world problems in quantitative trading.
✨Understand the Financial Landscape
Familiarise yourself with the financial services industry, particularly systematic equities trading. Knowing the basics of market data processing and backtesting workflows will give you an edge and show that you're genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect to tackle design and functionality problems during the interview. Practice explaining your thought process clearly and concisely, as this will demonstrate your ability to work independently and think critically under pressure.
✨Showcase Your Team Spirit
Since you'll be part of an agile team, highlight your experience working collaboratively. Share examples of how you've contributed to team culture and diversity, and be prepared to discuss how you can add value to their existing frameworks and practices.
