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- Tasks: Develop innovative AI/ML solutions to enhance investment decision-making and client engagement.
- Company: Join the dynamic JPMorgan Asset Management Data Science Team.
- Benefits: Competitive salary, professional development, and the chance to work with industry leaders.
- Why this job: Make a real impact in finance using cutting-edge data science techniques.
- Qualifications: Masters or PhD in a quantitative field with strong analytical skills.
- Other info: Collaborate globally and grow your career in a supportive environment.
The predicted salary is between 48000 - 84000 £ per year.
The Morgan Asset Management Data Science Team (JPMAM) is part of Morgan Asset & Wealth Management. The JPMAM Data Science team focuses primarily on developing novel AI/ML methods to drive innovative solutions for amplifying data-driven investment decision-making, improved client engagement, and operational effectiveness.
As a Data Scientist Senior Associate in the Morgan Asset Management Data Science Team (JPMAM), you will work closely with investment and data science professionals across Asset Management to proactively source, due diligence and draw insights from in-house investment and alternative data. This is an exciting opportunity to join a small, dynamic team with the resources and impact of one of the world’s largest companies. We are looking for problem-solvers with a passion for building greenfield analytic solutions and helping to scale them for greater impact. The successful candidate will be expected to work on projects along the full data science spectrum, from data acquisition and wrangling to model selection, presentation, and data visualization. The role requires the successful candidate to work as a part of a globally distributed data science team. They will work with stakeholders and subject matter experts to understand problems and find innovative, practical solutions. The successful candidate will be able to evidence a history of delivery and innovation.
Job Responsibilities:
- Building tools and systems to understand decision data, context, and events around it to enhance JPMAM’s decision attribution capabilities and systematically identify opportunities.
- Working with portfolio managers to understand sources of alpha and opportunities to improve the decision-making process.
- Working with partners in technology and user experience to build out tools providing real-time insights to portfolio managers and their teams.
Given the subject matter, a non-financial background would be acceptable if the candidate had an exceptionally strong data science skillset.
Required qualifications, capabilities and skills:
- Masters Degree or PhD in computer science, statistics, or other quantitative field.
- Strong analytical/modelling skills and business orientation with proven ability to use data and analytics to drive business results; strong technical background.
- Demonstrated experience working within a data science team.
- Timeseries analysis and modelling.
- Training and fine-tuning of the ML model for investment models.
- Strong knowledge of Python for data scientists (e.g., pandas), traditional ML and deep learning libraries (e.g., scikit learn, xgboost, TensorFlow, Torch).
- Data manipulation languages (e.g., SQL).
- Data visualization/presentation skills (e.g., Tableau).
- Demonstrated experience working with engineering, developers, and other technology teams.
- Writing production quality code, unit testing, and familiarity with version control.
- Familiarity with cloud-based technologies.
- Demonstrated experience using alternative datasets in investing and alpha research.
- In-depth understanding of financial markets required.
- Strong communications skills and the ability to present findings to a non-technical audience.
- Passion for learning and adopting a wide range of techniques in an agile environment.
Preferred qualifications, capabilities, and skills:
- Prior experience working in alpha capture, performance attribution, or trading/decision analytics role.
- Front office experience in finance (preferably buyside).
- Familiarity in incorporating unstructured data into investment research.
- Knowledge of alternative data landscape.
- CFA.
Data Science & Marchine Learning - Senior Associate - Asset Management in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science & Marchine Learning - Senior Associate - Asset Management in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving AI/ML methods. We recommend using platforms like GitHub to showcase your code and visualisations. It’s a great way to demonstrate your expertise and passion.
✨Ace the Interview
Prepare for those interviews by brushing up on common data science questions and case studies. We suggest practising with friends or using mock interview platforms. Remember, it’s not just about technical skills; they’ll want to see how you think and solve problems!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Science & Marchine Learning - Senior Associate - Asset Management in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your data science skills, especially in Python and machine learning, and show how your experience aligns with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and asset management. Share specific examples of your past projects that demonstrate your problem-solving skills and innovative thinking.
Showcase Your Technical Skills: Don’t just list your technical skills; provide context! Mention specific projects where you used tools like SQL, TensorFlow, or Tableau, and explain how they contributed to successful outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and machine learning libraries like scikit-learn and TensorFlow. Be ready to discuss your past projects and how you've used these tools to solve real-world problems.
✨Understand the Financial Landscape
Since this role is in asset management, it’s crucial to have a solid grasp of financial markets and investment strategies. Familiarise yourself with concepts like alpha capture and performance attribution so you can speak confidently about how data science can enhance decision-making in finance.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to tackle complex problems. Think about times when you’ve had to source and wrangle data or build models from scratch. This will demonstrate your innovative mindset and practical approach to data science.
✨Communicate Effectively
You’ll need to present your findings to non-technical stakeholders, so practice explaining your work in simple terms. Use visuals if possible, as this can help convey your insights more clearly. Good communication can set you apart from other candidates!
