As an Applied AI/ML Associate, you'll develop AI solutions using Python for the Private Bank, leveraging ML techniques to transform client services and processes.
Job Description
Revolutionize technology application in real-world scenarios, promoting impactful change and innovation.
As an Applied AI/ML Associate within our dynamic team of innovators and technologists, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents, leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery.
Job Responsibilities
Required qualifications, capabilities and skills
• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Develop and maintain machine learning models to solve complex business problems
• Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
• Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
• Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
• Identify the right state of the art solutions for the bank's objectives and implement them as clean, production-ready code
• Communicate findings and recommendations through clear and concise reports and presentations
• Required qualifications, capabilities and skills
• Proficiency in Python and SQL and familiarity with good software engineering practices
• Excellent written and verbal communication
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
• Collaborative, humble and enthusiastic attitude
Preferred qualifications, capabilities and skills
• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
• Experience in deep neural networks and familiarity with the latest developments in related fields
• Experience in LLM model finetuning and continuous learning techniques
• Experience in prompt engineering techniques and state-of-the-art LLM architectures
About Us
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. 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.
Revolutionize technology application in real-world scenarios, promoting impactful change and innovation.
As an Applied AI/ML Associate within our dynamic team of innovators and technologists, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents, leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery.
Job Responsibilities
- Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
- Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
- Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
- Collect and curate datasets for model training and evaluation.
- Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
- Monitor and improve model performance through feedback and active learning.
- Collaborate with technology teams to deploy and scale the developed models in production.
- Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
- Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.
Required qualifications, capabilities and skills
• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Develop and maintain machine learning models to solve complex business problems
• Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
• Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
• Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
• Identify the right state of the art solutions for the bank's objectives and implement them as clean, production-ready code
• Communicate findings and recommendations through clear and concise reports and presentations
• Required qualifications, capabilities and skills
• Proficiency in Python and SQL and familiarity with good software engineering practices
• Excellent written and verbal communication
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
• Collaborative, humble and enthusiastic attitude
Preferred qualifications, capabilities and skills
• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
• Experience in deep neural networks and familiarity with the latest developments in related fields
• Experience in LLM model finetuning and continuous learning techniques
• Experience in prompt engineering techniques and state-of-the-art LLM architectures
About Us
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. 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
Aws (Lambda
Glue
Python
PyTorch
S3)
Scikit-Learn
SQL
TensorFlow
Similar Jobs at JPMorganChase
Financial Services
As a Senior Applied AI/ML Associate, you'll develop AI solutions, collaborate with stakeholders, analyze data, and enhance decision-making processes.
Top Skills:
HuggingfaceLlmMlNlpPythonPyTorchTransformers
Financial Services
As a Data Engineer, you will design, develop, and maintain data processing solutions using Databricks and Python, collaborating with teams to deliver robust data solutions.
Top Skills:
AWSDatabricksPysparkPython
Financial Services
As a Data Scientist Senior Associate, you will design predictive models, develop RAG pipelines, and analyze complex datasets to provide insights. Collaboration with teams and communication of findings are key aspects of the role.
Top Skills:
DatabricksJavaPython
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
