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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 in London and collaborate with top professionals in the industry.
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.
Quantitative Research - Athena Analytics Developer - Executive Director employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Athena Analytics Developer - Executive Director
✨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 when preparing for interviews.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, software development, and any specific projects related to financial products. Use keywords from the job description to align your skills with what JP Morgan is looking for.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and software design. Mention specific experiences that demonstrate your ability to develop analytics software and frameworks, as well as your understanding of risk management systems.
Showcase Technical Skills: Clearly outline your proficiency in Python and any other relevant programming languages. Provide examples of past projects where you developed scalable frameworks or optimised code, particularly in a financial context.
Prepare for Technical Questions: Anticipate technical questions related to software design, algorithm efficiency, and quantitative finance concepts. Brush up on your knowledge of pricing libraries and risk management systems to demonstrate your expertise during potential interviews.
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any relevant quantitative research tools. Be prepared to discuss specific projects where you've developed analytics software or optimised code, 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.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges or case studies related to quantitative research to showcase your analytical thinking and approach to complex problems.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly. Be ready to explain your past experiences and how they relate to the position, ensuring you convey your ideas in a structured manner.
