At a Glance
- Tasks: Lead AI and ML projects to transform financial services and drive real business value.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Other info: Inclusive workplace that values diversity and offers excellent career development.
- Why this job: Make a meaningful impact while working with cutting-edge technology in a dynamic environment.
- Qualifications: Experience in data science and AI/ML, with strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Job Description hackajob is collaborating with J. P. Morgan to connect them with exceptional professionals for this role.
JOB DESCRIPTION
Job Summary
Bring your expertise to JPMorgan Chase.
As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient.
You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.
Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.
As a Vice President, Data Scientist in the Data Science team, you will help us shape the future of financial services by developing and implementing advanced AI solutions.
You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value.
In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance.
Together, we will deliver solutions that transform how we operate and serve our clients.
Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment.
- Job Responsibilities
- Demonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives.
- Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls.
- Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring.
- Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics.
- Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency.
- Design, build, and deploy impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights.
- Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption.
- Communicate analytical findings and recommendations to senior leadership.
- Required Qualifications, Capabilities, and Skills
- Experience in data science, analytics or a related field.
- Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.
- Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.
- Experience with A/B experimentation and the ability to develop and debug production-quality code.
- Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences.
- Scientific mindset with the ability to innovate and work both independently and collaboratively within a team.
- Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations.
- Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e. g.
Lang Graph, ADK), agent design patterns, and production-grade system integration.
- Preferred Qualifications, Capabilities, and Skills
- Advanced degree (Master's or Ph. D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred.
ABOUT US
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.
Visit our
FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
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 Applied AI ML Lead (Bournemouth)
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We think you need these skills to ace Applied AI ML Lead (Bournemouth)
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!
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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!
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✨Brush Up on Your Statistics
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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.
