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- Tasks: Develop cutting-edge software libraries for pricing derivatives and calculating risks.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to innovation.
- Benefits: Enjoy a diverse workplace, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in high-performance computing while collaborating with top talent in finance.
- Qualifications: Postgraduate degree in a quantitative field and strong skills in C++ required.
- Other info: We value diversity and provide accommodations for all employees.
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 the Quantitative Research, Core Analytics Development team, you will focus on high-performance computing.
Job responsibilities:- Developing software libraries in C++/CUDA/Python that price derivatives and calculate risks.
- Focusing on efficient algorithms, vectorization, parallelization, compiler optimizations, architecture of cross-asset pricing engines, core library frameworks, and continuous integration infrastructure.
- Optimizing code for specific hardware, from current production staples to future disruptive innovations.
- Supporting end-users of the library and communicating with desk-aligned quant teams and technology groups.
- Postgraduate degree (preferably PhD) or equivalent in a quantitative field such as computer science, mathematics, engineering, physics, or finance.
- Excellent software and algorithm design skills, particularly in C++.
- Outstanding problem-solving skills.
- Basic understanding of numerical methods, probability, and foundations of quantitative finance to facilitate detailed model understanding if required.
- Experience in parallel programming, e.g., TBB, OpenMP, CUDA, or OpenCL.
- Skills in Python, Java, Perl, and web programming.
- Previous experience as a software developer or a quant.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our approach to serving clients is first-class in every aspect. We aim to build trusted, long-term partnerships to help our clients achieve their business objectives.
We value the diverse talents of our global workforce, which are key to our success. We are an equal opportunity employer and highly value diversity and inclusion. We do not discriminate based on protected attributes such as race, religion, gender, sexual orientation, gender identity, age, marital or veteran status, pregnancy, disability, or any other protected characteristic. We also provide reasonable accommodations for religious practices, mental health, or physical disabilities.
QuantitativeResearch-CoreAnalyticsDevelopment-VicePresident employer: Hispanic Alliance for Career Enhancement
Contact Detail:
Hispanic Alliance for Career Enhancement Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QuantitativeResearch-CoreAnalyticsDevelopment-VicePresident
✨Tip Number 1
Familiarise yourself with the latest advancements in high-performance computing and parallel programming. Being well-versed in technologies like CUDA and TBB will not only enhance your understanding but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Engage with the quantitative finance community through forums, webinars, and conferences. Networking with professionals in the industry can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Showcase your problem-solving skills by working on relevant projects or contributing to open-source initiatives. This practical experience can be a great conversation starter during interviews and will highlight your ability to apply theoretical knowledge in real-world scenarios.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithm design and optimisation. Websites like LeetCode or HackerRank can help you sharpen your skills in C++ and Python, ensuring you're ready to impress during the interview process.
We think you need these skills to ace QuantitativeResearch-CoreAnalyticsDevelopment-VicePresident
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and software development, particularly in C++ and Python. Emphasise any relevant projects or roles that demonstrate your problem-solving skills and understanding of numerical methods.
Craft a Strong Cover Letter: In your cover letter, express your passion for technology and innovation in finance. Mention specific experiences that align with the job responsibilities, such as developing software libraries or optimising algorithms, to show you are a perfect fit for the role.
Showcase Relevant Skills: Clearly outline your technical skills, especially in parallel programming and any experience with CUDA or OpenMP. If you have worked on high-performance computing projects, be sure to include those details to demonstrate your expertise.
Highlight Team Collaboration: Since the role involves communication with desk-aligned quant teams and technology groups, mention any past experiences where you successfully collaborated with cross-functional teams. This will show your ability to work effectively in a team-oriented environment.
How to prepare for a job interview at Hispanic Alliance for Career Enhancement
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C++, CUDA, and Python in detail. Highlight specific projects where you've developed software libraries or optimised algorithms, as this will demonstrate your technical prowess and relevance to the role.
✨Understand the Financial Context
Familiarise yourself with basic concepts of quantitative finance and risk management. Being able to articulate how your technical skills apply to financial transactions will show that you understand the bigger picture and can contribute effectively.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice coding challenges and algorithm design problems, especially those related to parallel programming and optimisation techniques, to showcase your analytical abilities.
✨Communicate Clearly and Effectively
Since the role involves supporting end-users and collaborating with quant teams, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, as this will demonstrate your ability to work well with diverse teams.
