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JPMorganChase

AWM Analytics Solution- AI/ML- Vice President

Posted 22 Hours Ago
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Hybrid
Bengaluru, Karnataka
Senior level
Hybrid
Bengaluru, Karnataka
Senior level
As an Analytics Solutions Manager - Applied AI/ML, you will lead the design and implementation of AI/ML solutions in the AWM Risk Management team, driving innovation and strategic alignment. Your responsibilities include developing scalable models, mentoring data scientists, and collaborating with cross-functional teams to integrate AI capabilities and enhance decision-making processes.
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Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? As a Analytics Solutions Manager - Applied AI/ML - Vice President, t he Asset & Wealth Management (AWM) Risk Management team, you will design, develop, and implement advanced AI/ML solutions to address various business needs, ensuring scalability and performance.
As a Generative AI/ML Specialist within AWM Risk Management, you will be an essential member of an agile team focused on developing and implementing cutting-edge generative AI and machine learning solutions. Your role will involve providing strategic leadership in the design and execution of innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. You will architect solutions that are adaptable and scalable, ensuring they remain robust at their core while being flexible enough to evolve with changing business needs. As a core technical and strategic contributor, you will collaborate across various business functions to integrate AI/ML capabilities that align with the firm's objectives. Additionally, you will work closely with leadership to provide thought leadership, develop strategic roadmaps, and evaluate new AI/ML technologies, requiring a blend of technical expertise and strategic vision.
Job Responsibilities

  • Design, develop, and implement advanced AI/ML solutions to address various business needs, ensuring scalability and performance. Build upon state-of-the-art Gen-AI models, to support various use cases such as Document Q&A, Information Retrieval/Summarization, Search, etc.
  • Work closely with leadership to set the technical vision and execute strategic roadmaps, transforming business requirements into actionable AI/ML specifications.
  • Lead AI/ML projects through the ML development lifecycle. Employ agile methodology, defining key milestones and ensuring timely delivery.
  • Stay at the forefront of data science and machine learning advancements, collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization.
  • Mentor junior data scientists and analysts, and design training programs to enhance AI/ML awareness and adoption within the team.
  • Develop and maintain efficient data pipelines and workflows, ensuring data quality and integrity through rigorous cleaning, preprocessing, and validation.
  • Conduct exploratory data analysis to uncover trends and insights, performing statistical analysis and hypothesis testing to support data-driven decision-making.
  • Present findings through clear and impactful visualizations and reports, enabling informed decision-making across the organization.


Required Qualifications, Skills and Capabilities:

  • Bachelors or higher in a quantitative discipline such as Computer Science, Data Science, or Machine Learning. with 7+ years of experience
  • Proficiency in programming languages such as Python or R, and experience with SQL and relational databases.
  • Deep knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques.
  • Strong problem-solving skills, attention to detail, and the ability to work independently and as part of a team.
  • Excellent communication and collaboration skills, with the ability to inspire and lead teams composed of both technical and non-technical members.


Preferred Qualifications, Skills and Capabilities:

  • Experience with large language models (LLMs), prompt engineering techniques, and generative AI.
  • Solid background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting.
  • Experience with Graph Databases, Large Graph Models (LGM) and GraphRAG applications.


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 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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Top Skills

Artificial Intelligence
Deep Learning
Machine Learning
Natural Language Processing
Python
R
SQL
Statistical Analysis

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