At a Glance
- Tasks: Design and implement advanced models for treasury management using AI and analytics.
- Company: Join a leading Commercial & Investment Bank in London with a focus on innovation.
- Benefits: Competitive salary, exposure to global teams, and opportunities for professional growth.
- Why this job: Be at the forefront of financial innovation and solve complex challenges in a dynamic market.
- Qualifications: Advanced degree in a quantitative field and strong programming skills in Python.
- Other info: Collaborate globally and contribute to transforming the investment bank into a data-driven business.
The predicted salary is between 36000 - 60000 £ per year.
Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management for the Commercial & Investment Bank. Are you passionate about quantitative modelling and financial innovation? As an Associate in Quantitative Research, you will collaborate with global teams to deliver data-driven solutions and actionable insights. This is your opportunity to work at the forefront of AI, automation, and analytics, supporting strategic objectives in a dynamic market environment. If you thrive on solving complex challenges and driving change, we invite you to join our expert team.
As an Associate within Quantitative Research, Market Treasury team in London, you will play a key role in designing and implementing advanced models to assess risk and develop tools to predict and explain P&L. You will work closely with the Markets Treasury team and CIB Technology, gaining exposure to large-scale data analytics, AI applications, and automation of reporting processes. You will collaborate with stakeholders across markets and technology to deliver innovative solutions, enhancing treasury management practices and supporting strategic objectives in a fast-paced environment.
Job Responsibilities
- Contribute to the strategic transformation of the investment bank into a data-driven business using AI and machine learning
- Design frameworks and build applications for data analytics
- Conduct data analysis and identify or explain key factors within large financial datasets
- Develop end-to-end solutions and user tools that provide valuable analytics to stakeholders
- Collaborate with business and senior leaders to improve financial resource consumption and quantify impact
- Partner with technology teams to scale and develop new analytical frameworks and optimisation strategies
- Work closely with partners in Asia-Pacific and New York to deliver global solutions
Required Qualifications, Capabilities, and Skills
- Advanced degree (Master’s or PhD) or equivalent in a quantitative field such as Mathematics, Computer Science, Physics, or Engineering
- Strong programming background with high proficiency in Python
- Demonstrated quantitative and problem-solving skills
- Markets experience and familiarity with general trading concepts and terminology
- Excellent verbal and written communication skills, able to engage partners and stakeholders on complex topics
- Ability to quickly grasp business concepts outside immediate area of expertise and adapt to changing business needs
- Strategic and creative thinker, always seeking new approaches
- Robust system and solution design mindset, including diligent testing and verification practices
Preferred Qualifications, Capabilities, and Skills
- Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations
- Experience designing, building, and deploying analytical data products
- Understanding of a bank’s balance sheet and/or experience with financial optimisation problems
- Ability to discuss different types of financial risk and approaches to risk management
- Knowledge of options pricing theory, trading algorithms, or financial regulations
- Experience with robust testing and verification practices
Quantitative Research - Markets Treasury - Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Markets Treasury - Associate
✨Tip Number 1
Network like a pro! Reach out to professionals in the Quantitative Research field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analytical tools. This is your chance to demonstrate your expertise and creativity, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills, especially in Python. Be ready to discuss your past projects and how they relate to the role. Confidence and clarity are key!
✨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 genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Quantitative Research - Markets Treasury - Associate
Some tips for your application 🫡
Show Your Passion for Quantitative Modelling: When writing your application, let your enthusiasm for quantitative modelling and financial innovation shine through. Share specific examples of projects or experiences that highlight your skills and passion for the field.
Tailor Your Application: Make sure to customise your CV and cover letter to align with the job description. Highlight relevant experiences and skills that match what we're looking for in an Associate within our Quantitative Research team.
Be Clear and Concise: In your written application, clarity is key. Use straightforward language and avoid jargon unless it's necessary. We want to see that you can communicate complex ideas effectively, so keep it simple and to the point.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative modelling skills and financial concepts. Be ready to discuss advanced models, derivatives pricing theory, and trading algorithms. The more you can demonstrate your expertise, the better!
✨Show Off Your Programming Skills
Since a strong programming background in Python is crucial for this role, be prepared to talk about your coding experience. Bring examples of projects you've worked on or challenges you've solved using Python, especially in data analytics.
✨Communicate Clearly
You’ll need to engage with various stakeholders, so practice explaining complex topics in simple terms. Think about how you can convey your ideas clearly and concisely, as effective communication is key in this role.
✨Be Ready to Collaborate
This position involves working closely with global teams, so highlight your teamwork skills. Share examples of past collaborations and how you’ve contributed to achieving common goals, especially in fast-paced environments.