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- Tasks: Build and expand trading data sets, create predictive signals, and present insights to clients.
- Company: Join J.P. Morgan's innovative Global Data Assets & Alpha Group.
- Benefits: Collaborative environment with growth opportunities in finance and technology.
- Why this job: Make a real impact at the intersection of finance and tech while innovating.
- Qualifications: Strong coding skills in Python and a solid academic background in quantitative subjects.
- Other info: Work independently with attention to detail in a dynamic financial markets setting.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate, curious, and ready to make an impact? Join the Global Data Assets & Alpha Group, which provides clients with a single touchpoint for trading data and associated signals & insights via three core pillars: Market Intelligence, Data Intelligence and Positioning Intelligence. Sitting within the Equities Trading division of J.P. Morgan, reporting directly into front office trading management, we offer a collaborative environment with opportunities for growth and development, focusing on innovation at the intersection of finance and technology.
As an Associate Data Intelligence Specialist, you will build out our suite of premium trading data sets for internal risk management, develop trading signals, and produce original analytical content. You’ll work across the markets trading business, and champion innovation throughout the bank.
Job Responsibilities- Build and expand trading data sets using internal, public, and alternative external sources.
- Create predictive signals, insights, and frameworks for buyside investing clients.
- Maximise commercial impact by collaborating across the markets trading business.
- Present your work in front of internal stakeholders and external clients.
- Strong coding experience, including Python.
- Extensive analytical and modelling skills.
- Prior experience in a quantitative role on the buy-side or sell-side.
- Solid academic background (MSc, MRes, PhD) in a quantitative subject.
- Ability to work independently with strong attention to detail.
- Solid knowledge of financial markets across Equities, Rates, FX, or Credit (understanding of derivatives/volatility).
- Excellent written and verbal communication skills.
This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.
Global Data Assets and Alpha Group - Data Intelligence Specialist - Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data Assets and Alpha Group - Data Intelligence Specialist - Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at J.P. Morgan. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got coding chops in Python or experience with data analysis, be ready to demonstrate that in interviews. Bring examples of your work or projects to discuss.
✨Tip Number 3
Prepare for the unexpected! Be ready to tackle case studies or technical questions during interviews. Practising these scenarios can help you think on your feet and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Global Data Assets and Alpha Group - Data Intelligence Specialist - Associate
Some tips for your application 🫡
Show Your Passion: Let your enthusiasm for data and finance shine through in your application. We want to see that you're not just ticking boxes, but genuinely excited about the role and how you can make an impact.
Tailor Your CV: Make sure your CV highlights relevant experience, especially in coding and analytics. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your skills in Python and quantitative analysis.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit. Be specific about your achievements and how they relate to the responsibilities of the Data Intelligence Specialist role. We appreciate a personal touch!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you’re well-versed in the trading data sets relevant to the role. Brush up on how to build and expand these data sets using various sources, as this will likely come up in your interview. Being able to discuss specific examples of your past work with data will show your passion and expertise.
✨Show Off Your Coding Skills
Since strong coding experience, particularly in Python, is a must-have, be prepared to demonstrate your skills. You might be asked to solve a coding problem or explain your previous projects. Practise coding challenges beforehand to ensure you can showcase your abilities confidently.
✨Understand Financial Markets
Familiarise yourself with the financial markets, especially Equities, Rates, FX, and Credit. Be ready to discuss how these markets operate and any relevant trends. This knowledge will help you connect your analytical skills to real-world applications, which is crucial for the role.
✨Communicate Clearly and Confidently
Excellent communication skills are key, so practise articulating your thoughts clearly. Prepare to present your ideas and analyses as if you were speaking to clients or stakeholders. This will not only demonstrate your expertise but also your ability to engage with others effectively.
