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- Tasks: Transform business practices through data science and quantitative analysis in a dynamic team.
- Company: Join a leading Commercial & Investment Bank with a global presence.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Why this job: Make a real impact on financial decision-making using cutting-edge data analytics.
- Qualifications: Advanced degree in relevant fields and strong data handling skills required.
- Other info: Engage in exciting projects with excellent career advancement opportunities.
The predicted salary is between 72000 - 108000 £ per year.
You will be a part of an expanding new team to transform business practices through data science, automation and quantitative analysis.
As a Vice President in Quantitative Research, Payments team within the Commercial & Investment Bank, you will support the Liquidity and Account Solutions team within Payments, optimizing Net Interest Income and client pricing through the innovative use of data analytics, time series analysis and machine learning. You will help create a globally consistent deposit and pricing toolset used in decision making. The Payments business generates around $17bn of revenue annually, holding over $900bn of cash deposits with a global presence in over 160 countries.
Job Responsibilities:
- Reconcile data sources and build data pipelines to form a comprehensive data set fit for modelling and visualization.
- Build up a scalable data architecture to handle the large volume of transaction data.
- Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management.
- Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints.
- Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development.
- Make real-world, commercial recommendations through effective presentations to various stakeholders.
- Leverage data visualization to communicate quantitative insights to help business decision-making.
Required qualifications, capabilities, and skills:
- You have an advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
- You demonstrate a strong desire to work with data and are comfortable in handling large datasets as well as building efficient data and Machine Learning pipelines.
- You demonstrate experience in writing production quality code and familiarity with testing and source control.
- You have experience in data analytics using open-source Python packages (pandas/numpy/scikit-learn/tensorflow).
- You demonstrate strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
- You demonstrate a strong intellectual curiosity, and an interest in understanding at a deeper level how a bank operates.
Preferred qualifications, capabilities, and skills:
- Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub.
- You demonstrate hands-on experience in solving sequential decision making problems.
- You have knowledge/experience with cloud based infrastructure.
- You have experience in building scalable machine learning models.
Quantitative Research - Payments - Vice President in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research - Payments - Vice President in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning and data visualisation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to quantitative research and data analytics. Use mock interviews to refine your answers and get comfortable discussing your experience and projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Quantitative Research - Payments - Vice President in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your data science, automation, and quantitative analysis expertise, as these are key for us in the Payments team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working with data and how your background makes you a great fit for the Vice President position. Be sure to mention any relevant projects or experiences!
Showcase Your Technical Skills: Since we’re looking for someone who can handle large datasets and build efficient pipelines, don’t forget to include specific examples of your experience with Python packages and machine learning models in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our expanding team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques mentioned in the job description. Brush up on your Python skills, especially with libraries like pandas and scikit-learn. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific examples where you've tackled complex problems, particularly in sequential decision making. Think of a project where you automated processes or built data pipelines, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Effectively
Since you'll need to present findings to non-technical stakeholders, practice explaining your work in simple terms. Use visuals if possible to illustrate your points. This will demonstrate your strong communication skills and ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate Your Curiosity
Show your enthusiasm for understanding how banks operate and your interest in the financial sector. Prepare questions that reflect your curiosity about the company’s practices and how they leverage data science in their operations. This will highlight your intellectual curiosity and fit for the role.
