At a Glance
- Tasks: Deliver high-quality products and unify client data for impactful insights.
- Company: Join a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborate across teams to enhance operational efficiency and stakeholder satisfaction.
- Why this job: Make a real impact by driving business transformation through data and AI solutions.
- Qualifications: 5+ years in business initiatives, strong analytics, and product lifecycle management.
The predicted salary is between 55000 - 65000 £ per year.
Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence.
As a Product Senior Associate in Data, Digital & AI, you will help translate business needs into well-defined delivery artifacts and coordinate cross-functional execution across product, technology, operations, and business stakeholders.
You will contribute to scalable, resilient, and stable product capabilities by driving disciplined requirements, backlog hygiene, end-to-end testing coordination, and operational readiness practices.
You partner with product, technology, and business leaders to implement data- and AI-enabled commercial solutions for executives, team leads, and frontline bankers.
Your work helps define the business experience, focusing on process optimization, data-driven insights, and stakeholder satisfaction.
Partner closely with Product Owners to support discovery and delivery by converting stakeholder needs into clear, actionable requirements that enable development teams to execute efficiently
Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.
Support building the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
Participate in planning, execution, risk management, and delivery of business programs focused on process improvement and operational efficiency.
Assist in establishing and monitoring key performance indicators to ensure measurable business value.
Leverage analytics, including machine learning and AI, to derive actionable business insights.
Understand internal team needs and anticipate future requirements, collaborating across Markets, Payments, Global Banking, and Private Bank..
5+ years of experience or equivalent expertise delivering business initiatives, projects, or transformation programs.
Ability to deal with different stakeholder groups to elicit business requirements, processes and data trends.
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
Strong knowledge of business process improvement, strategic planning, and data analytics. capable of managing multiple workstreams under tight deadlines while maintaining quality and follow-through with minimal oversight.
Track record of contributing to large-scale business integration and analytics projects.
Understanding of business integration techniques, data governance, regulatory compliance, and operational risk management.
Experience with emerging technologies and best practices in business analytics and CRM.
Experience in business process management, CRM systems, or related fields within a financial institution.
Bachelor's degree in Business, Data Science, or a related field; 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's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. xxuwjjq The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Associate -Data, Digital & AI in Bristol
✨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 Senior Product Associate -Data, Digital & AI 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 Senior Product Associate -Data, Digital & AI 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 Senior Product Associate -Data, Digital & AI in Bristol
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.