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- Tasks: Develop cutting-edge analytics software for pricing and risk management in finance.
- Company: Join JP Morgan, a leader in financial services and innovation.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic work environment.
- Why this job: Be part of a team driving innovation in finance with impactful projects.
- Qualifications: Degree in a quantitative field; strong coding skills, especially in Python.
- Other info: Work on high-performance computing and collaborate with top professionals.
The predicted salary is between 72000 - 108000 £ per year.
Quantitative Researchers (QR) are a key part of JP Morgan’s markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and risk manage financial transactions. They develop these in Athena, a next-generation risk, pricing, and trade management platform built in-house at JP Morgan.
As an Executive Director within the Quantitative Research Athena and Analytics team, you will focus on cross-asset topics ranging from pricing library and market model design, risk frameworks, UI design to high-performance computing. Athena is designed to enable rapid innovation by offering Quantitative Analysts, Risk Managers, and Technologists a consistent, cross-asset portfolio of models, frameworks, and tools for building financial applications. Its technical innovations include a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and an event-driven graph called Reactive.
Job responsibilities:
- Develop Athena (Python) analytics software used for pricing and risk management of financial products.
- Design efficient, scalable, and usable cross-asset frameworks to establish standards across all QR streams.
- Optimize code and business processes, providing guidance to quant teams in using frameworks.
- Support end-users of frameworks, communicating with quant teams and technology groups.
Required qualifications, capabilities, and skills:
- Degree in a quantitative field such as computer science, mathematics, engineering, or physics.
- Excellent software and algorithm design skills.
- Passion for software design and high-quality coding.
- Experience with pricing libraries and risk management systems.
- Understanding of trade lifecycle, MTM, PnL, and related processes.
- Excellent communication skills, both oral and written.
Preferred qualifications, capabilities, and skills:
- Knowledge of finance or quantitative finance.
- Experience writing high-quality Python code.
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Athena Analytics Developer - Executive Director (London)
✨Tip Number 1
Familiarise yourself with JP Morgan's Athena platform. Understanding its architecture and functionalities will give you a significant edge during interviews, as you'll be able to discuss how your skills can contribute to its development.
✨Tip Number 2
Network with current or former employees in the Quantitative Research team. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your Python coding skills, especially in the context of financial applications. Consider working on personal projects or contributing to open-source projects that involve pricing libraries or risk management systems to showcase your expertise.
✨Tip Number 4
Prepare to discuss your experience with algorithm design and optimisation. Be ready to provide examples of how you've improved processes or frameworks in previous roles, as this will demonstrate your ability to add value to the team.
We think you need these skills to ace Quantitative Research - Athena Analytics Developer - Executive Director (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, software design, and Python programming. Emphasise any projects or roles that demonstrate your ability to develop analytics software and frameworks.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the role of Executive Director within the Quantitative Research Athena and Analytics team. Discuss your passion for software design and how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Projects: Include examples of past projects where you developed pricing libraries or risk management systems. Highlight your experience with high-performance computing and any innovative solutions you've implemented.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples of how you've effectively communicated complex ideas to both technical and non-technical stakeholders in previous positions.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant quantitative models you've developed. Highlight specific projects where you optimised code or designed frameworks, as this will demonstrate your technical prowess.
✨Understand the Financial Context
Familiarise yourself with key financial concepts such as pricing libraries, risk management systems, and the trade lifecycle. Being able to speak knowledgeably about these topics will show that you understand the industry and can apply your skills effectively.
✨Communicate Clearly
Since excellent communication skills are a requirement, practice articulating complex ideas in a clear and concise manner. Be ready to explain your thought process during problem-solving scenarios, as this will reflect your ability to collaborate with quant teams and technology groups.
✨Demonstrate Passion for Software Design
Express your enthusiasm for high-quality coding and software design. Share examples of how you've implemented best practices in your previous work, and discuss any innovative solutions you've contributed to in past projects.
