At a Glance
- Tasks: Design and implement data models that transform financial data into actionable insights.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for career growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact by shaping the future of financial analysis with cutting-edge technology.
- Qualifications: Experience in SQL, Python, and building data models; strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful.
As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance.
Job responsibilities
- Design, develop, test, and refine data models and analytic prototypes
- Solve complex data challenges at the intersection of finance and technology
- Support the development of cloud-based data lakehouse solutions for Planning & Analysis
- Guide and support data consumers in leveraging data products for analytics and planning
- Utilize AI-assisted coding tools to accelerate development and optimize SQL
- Identify opportunities to embed AI into Planning & Analysis workflows
- Work with diverse data sets to support various Planning & Analysis processes
- Collaborate with senior team members on solution design
- Inspire innovation and champion change across teams within JPMorganChase
Required qualifications, capabilities, and skills
- Strong analytical and problem-solving skills with attention to detail
- Hands-on experience building and prototyping data models to address user needs
- Proficient in SQL and Python for data analysis, engineering, and transformation
- Relevant experience developing, testing, and refining data models using dimensional and relational approaches
- Curious mindset with a drive for continuous improvement
- Familiarity with prompt engineering principles and LLM-based tools
- Effective communication skills to present data findings and support users
- Experience with ETL/ELT processes and architecture in data pipelines
- Experience building models for dashboard or cube consumption
- Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud
- Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline
Preferred qualifications, capabilities, and skills
- Experience with Databricks and notebook-based development
- Experience working with financial and workforce datasets
J.P. 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. Our first-class business in a first-class way approach to serving clients drives everything we do. 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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
StudySmarter Expert Advice🤫
We think this is how you could land Planning and Analysis Data Modeler - Senior Associate (London)
✨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 Planning and Analysis Data Modeler - Senior Associate (London) 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 Planning and Analysis Data Modeler - Senior Associate (London) 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 Planning and Analysis Data Modeler - Senior Associate (London)
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.
