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- Tasks: Lead a dynamic AI/ML team and deliver innovative projects in digital investment banking.
- Company: Join JPMorgan Chase, a global leader in financial services and technology.
- Benefits: Enjoy competitive pay, mentorship opportunities, and a collaborative work culture.
- Why this job: Make a real impact in AI innovation while fostering an inclusive and growth-oriented environment.
- Qualifications: Significant experience in AI/ML, strong programming skills, and proven leadership abilities required.
- Other info: Ideal for those passionate about transforming finance through cutting-edge technology.
The predicted salary is between 72000 - 108000 £ per year.
Are you ready to tackle exciting business challenges and drive AI innovation at JPMorgan Chase? Join our Applied AI/ML team as a Vice President, where you'll lead a local team and collaborate on impactful global business initiatives. Apply your expertise to deliver AI/ML projects, mentor team members, and contribute to firm-wide machine learning communities.
As a Vice President in the Applied AI/ML team, you will lead a local team, collaborate on setting the technical vision, and execute strategic roadmaps to drive AI innovation. Your role involves delivering AI/ML projects, transforming business requirements into specifications, and ensuring timely delivery. You will mentor junior associates, participate in machine learning communities, and foster an inclusive culture with a growth mindset.
Job Responsibilities:- Lead a local AI/ML team, ensuring accountability and engagement within a global organization.
- Mentor and guide team members, fostering an inclusive culture with a growth mindset.
- Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
- Deliver AI/ML projects through our ML development life cycle using Agile methodology.
- Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
- Work with product and business teams to define goals and roadmaps, maintaining alignment with cross-functional stakeholders.
- Exercise sound technical judgment, anticipate bottlenecks, escalate issues effectively, and balance business needs with technical constraints.
- Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and explainable solutions.
- Mentor junior machine learning associates in delivering successful projects and building successful careers within the firm.
- Participate in and contribute to firm-wide machine learning communities through patent filings, publications, and speaking engagements.
- Significant experience in Computer Science, Data Science, Information Systems, Statistics, Mathematics, or equivalent fields.
- Proven track record of managing AI/ML or software development teams.
- Experience as a hands-on practitioner developing production AI/ML solutions.
- Deep knowledge and experience in machine learning and artificial intelligence.
- Ability to set teams up for success in speed and quality, and design effective hypotheses and metrics.
- Expertise in at least one of the following areas: Knowledge Graphs, Computer Vision, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Strong understanding of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
- Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, PyG, Keras, MXNet, and Scikit-Learn.
- Strong programming skills in Python and Spark; proficiency in vector operations using NumPy / SciPy; experience with distributed computing using multithreading.
- Familiarity with AWS Cloud services such as EMR and SageMaker.
- Strong people management and team-building skills.
- Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent.
- Ability to build a diverse, inclusive, and high-performing team.
- Ability to inspire collaboration among teams composed of both technical and non-technical members.
- Effective communication, solid negotiation skills, and strong leadership.
- Experience in the financial services industry.
- Familiarity with AI/ML concepts and applications.
Applied AI ML Lead - Digital Investment Banking | London, UK employer: JPMorgan Chase & Co.
Contact Detail:
JPMorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead - Digital Investment Banking | London, UK
✨Tip Number 1
Network with professionals in the AI/ML field, especially those who have experience in digital investment banking. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and challenges in the sector.
✨Tip Number 2
Showcase your leadership skills by participating in relevant online forums or communities. Share your insights on AI/ML projects and engage in discussions that highlight your ability to mentor and guide others, which is crucial for this role.
✨Tip Number 3
Familiarise yourself with the specific AI/ML tools and frameworks mentioned in the job description, such as TensorFlow and PyTorch. Consider working on personal projects or contributing to open-source initiatives to demonstrate your hands-on experience with these technologies.
✨Tip Number 4
Prepare to discuss your experience in managing teams and delivering projects using Agile methodology. Be ready to provide examples of how you've successfully navigated challenges and ensured timely delivery of AI/ML solutions in previous roles.
We think you need these skills to ace Applied AI ML Lead - Digital Investment Banking | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, particularly any leadership roles or projects that align with the responsibilities outlined in the job description. Use specific examples to demonstrate your expertise in machine learning frameworks and programming skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and how your background makes you a perfect fit for the role. Mention your experience in mentoring teams and driving projects, and relate it to the company's goals in digital investment banking.
Showcase Technical Skills: Clearly outline your technical skills in your application, especially your proficiency in Python, Spark, and machine learning frameworks like TensorFlow and PyTorch. Highlight any hands-on experience you've had in developing production AI/ML solutions.
Demonstrate Leadership Experience: Emphasise your leadership capabilities by detailing your experience managing teams and fostering an inclusive culture. Provide examples of how you've successfully guided team members and contributed to their professional growth.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Showcase Your Leadership Skills
As a Vice President, you'll be leading a team, so it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully managed teams in the past, focusing on mentorship and fostering an inclusive culture.
✨Highlight Your Technical Expertise
Make sure to discuss your hands-on experience with AI/ML solutions. Be ready to talk about specific projects you've worked on, the technologies you used, and how you overcame challenges during the development process.
✨Understand the Business Context
JPMorgan Chase is looking for someone who can align technical solutions with business needs. Research their current initiatives in digital investment banking and think about how your skills can contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and technical judgement. Practice articulating how you would handle potential bottlenecks or conflicts between business requirements and technical constraints.
