Applied AI/ML - Vice President

Posted 12 Hours Ago
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New York, NY
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Seeking a Vice President in Applied AI/ML to lead the development and implementation of AI/ML solutions for forecasting and analytical capabilities within the FP&A organization. Responsibilities include designing and implementing AI/ML solutions, collaborating with stakeholders, staying updated with data science advancements, and mentoring junior data scientists.
Summary Generated by Built In

Job Description
The Data Science Center of Excellence (COE) within the Firmwide Planning & Analysis (FP&A) organization is seeking an Applied AI/ML Lead to join this talented and dynamic team. We are looking for someone with a strong background in data analysis, machine learning, and statistical modeling, with a passion for uncovering insights and solving complex problems.
As a Vice President in Applied AI/ML within the Firmwide Planning & Analysis (FP&A) organization, you will focus on delivering enhanced forecasting and analytical capabilities, including AI/ML-based solutions, for higher productivity across the FP&A organization. You will play a crucial role in analyzing business problems, experimenting with statistical and machine learning models, and developing solutions with state-of-art machine learning and deep learning algorithms. You will be a part of an innovative team, work closely with cross-functional teams to develop data-driven solutions that enhance our products, services, and business operations.
Job Responsibilities

  • Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc.
  • Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap.
  • Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
  • Communicate findings and insights through clear and concise visualizations and reports.
  • Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&A organization.
  • Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.
  • Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.
  • Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.


Required qualifications, capabilities, and skills.

  • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.
  • 5 years of experience in data science, machine learning, or a related role.
  • Proficiency in programming languages such as Python or R.
  • Experience with LLMs and Prompt Engineering techniques.
  • Strong knowledge of statistical analysis and modeling techniques.
  • Familiarity with data analysis and visualization.
  • Experience with SQL and relational databases.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.


Preferred qualifications, capabilities and skills

  • Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models.
  • Proven track record in successful development and deployment of AI/ML based solutions to solve large and complex business operations.
  • Experience in leading a team and/or supervising and mentoring junior analysts.


Note: This position is not eligible for sponsorship.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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.

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The Company
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Year Founded: 1799

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JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

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Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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