At a Glance
- Tasks: Collaborate with teams to design AI solutions that transform finance and asset management.
- Company: Join Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, diverse work culture, and opportunities for continuous learning.
- Other info: Dynamic environment with strong career growth and a commitment to employee well-being.
- Why this job: Make an impact in finance using cutting-edge AI and machine learning technologies.
- Qualifications: Experience in NLP, ML, and a passion for innovation in finance.
The predicted salary is between 70000 - 90000 £ per year.
The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production.
A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field.
Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands-on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.
\Design and implement agentic AI workflows that automate and streamline complex business processes. \Design and apply advanced techniques such as semantic search, retrieval-augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. \Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.
Work closely with partner teams - including Business, Technology, Product Management, Strategy, and Business Management - to deploy and scale developed models in production environments.
Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.
\Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems. \Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science. \Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. \Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.
\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.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
\We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. for more information about requesting an accommodation.
\Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions.
Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals.
Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Management, Data Scientist, Vice President, London/Glasgow (Glasgow)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Asset Management, Data Scientist, Vice President, London/Glasgow (Glasgow) at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Management, Data Scientist, Vice President, London/Glasgow (Glasgow) at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Asset Management, Data Scientist, Vice President, London/Glasgow (Glasgow)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
