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- Tasks: Develop cutting-edge software for pricing derivatives and risk calculations.
- Company: Join JP Morgan, a leader in financial innovation investing over $9 billion annually.
- Benefits: Enjoy competitive pay, remote work options, and access to advanced technology.
- Why this job: Make an impact in high-performance computing while collaborating with top-tier professionals.
- Qualifications: Postgraduate degree in a quantitative field and strong C++ skills required.
- Other info: Ideal for those passionate about technology and finance, with opportunities for growth.
The predicted salary is between 72000 - 108000 £ per year.
If you are passionate, curious, and ready to make an impact, we are looking for you. JP Morgan spends more than $9 billion a year to be at the forefront of technological innovation. Leveraging petascale compute clusters, Quantitative Researchers develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to high- and low-frequency trading algorithms.
As a Vice President in Quantitative Research, Core Analytics Development team, you will be focusing on high performance computing.
Job responsibilities:- Developing in a C++/CUDA/Python software library that prices derivatives and calculates risks
- Focusing on efficient algorithms, vectorization and parallelization, compilers, architecture of cross-asset pricing engines, core library frameworks and continuous integration infrastructure
- Optimizing code for specific hardware, from today’s production staples to future disruptive innovations
- Supporting end users of the library and communicating with desk-aligned quant teams and technology groups
- You have a postgraduate degree (preferably PhD), or equivalent, in a quantitative field, e.g. computer science, mathematics, engineering, physics, or finance
- You demonstrate excellent software and algorithm design and development skills, particularly in C++
- You demonstrate outstanding problem solving skills
- You have basic understanding of numerical methods, probability and foundations of quantitative finance to ensure that detailed model knowledge can be picked up if required
- You have experience in parallel programming, e.g. TBB, OpenMP, CUDA or OpenCL
- You demonstrate Python, Java, Perl and web programming skills
- You have previous work experience as a software developer or a quant
Quantitative Research - Core Analytics Development - Vice President (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Core Analytics Development - Vice President (Basé à London)
✨Tip Number 1
Network with professionals in the quantitative research field, especially those who work at JP Morgan or similar firms. Attend industry conferences, webinars, and meetups to connect with potential colleagues and learn about the latest trends in high-performance computing.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own projects that demonstrate your expertise in C++, CUDA, and Python. This not only enhances your portfolio but also gives you practical experience that can be discussed during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and algorithm problems, particularly those related to numerical methods and parallel programming. Websites like LeetCode or HackerRank can be great resources for honing your skills.
✨Tip Number 4
Familiarise yourself with the specific technologies and methodologies used in high-frequency trading and risk management. Understanding the nuances of these areas will help you stand out as a candidate who is not only qualified but also genuinely interested in the role.
We think you need these skills to ace Quantitative Research - Core Analytics Development - Vice President (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your postgraduate degree and relevant experience in quantitative fields. Emphasise your software development skills, particularly in C++, and any experience with parallel programming or algorithm design.
Craft a Strong Cover Letter: In your cover letter, express your passion for technology and quantitative research. Mention specific projects or experiences that demonstrate your problem-solving skills and familiarity with high-performance computing.
Showcase Relevant Skills: Clearly outline your technical skills in your application. Include your proficiency in C++, Python, and any other relevant programming languages. Highlight your understanding of numerical methods and quantitative finance principles.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Check for grammatical errors, clarity, and ensure that your application reflects your enthusiasm for the role at JP Morgan.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++, CUDA, and Python in detail. Bring examples of projects where you've developed algorithms or optimised code, as this will demonstrate your technical prowess and problem-solving abilities.
✨Understand the Financial Context
Brush up on your knowledge of quantitative finance and numerical methods. Being able to discuss how your work impacts financial transactions will show that you understand the bigger picture and can apply your skills effectively.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving skills. Practice coding challenges and algorithm design problems beforehand, as this will help you think on your feet during the interview.
✨Communicate Clearly and Effectively
Since you'll be working with various teams, it's crucial to demonstrate strong communication skills. Be ready to explain complex concepts in a simple way, showing that you can collaborate with both technical and non-technical colleagues.
