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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 global leader in financial services.
- Benefits: Competitive salary, career growth, and a diverse, inclusive culture.
- Why this job: Make a significant impact in the finance tech world with your coding skills.
- Qualifications: 5+ years in software engineering, strong Python expertise, and problem-solving skills.
- Other info: Dynamic environment with opportunities for innovation and collaboration.
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.
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.
Qualifications
- 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
- 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 City of Westminster 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 City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative trading. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. 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 noticed. Plus, it shows you're serious about joining our team at JPMorgan Chase.
We think you need these skills to ace Systematic Equities Trading - Python Quant Developer- Senior Associate in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Python Quant Developer. Highlight your experience with Python, quantitative research, and any relevant projects that showcase your skills in system design and application development.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used Python and other technologies in your previous roles, especially in relation to trading systems or quantitative analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background aligns with the responsibilities outlined in the job description. Be genuine and let your personality come through.
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 you’re proactive and keen on joining 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 and any relevant libraries like pandas and numpy. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Understand the Business Context
Familiarise yourself with the financial services industry, especially in relation to systematic equities trading. Knowing how your role impacts the business will help you answer questions more effectively and show your genuine interest.
✨Prepare for Technical Questions
Expect to face technical challenges during the interview. Practice coding problems and be prepared to explain your thought process. This is your chance to showcase your problem-solving skills and technical expertise.
✨Showcase Your Team Spirit
Since you'll be working in an agile team, highlight your experience collaborating with others. Share examples of how you've partnered with research and trading teams in the past to build integrated solutions.
