JPMorganChase
Asset Management - Data Science Lead - Vice President
JPMorganChase, New York, New York, us, 10261
JOB DESCRIPTIONShort description
Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment.
Job Description
The Asset Management Data Science team is focused on enhancing and facilitating various steps in the investment process ranging from financial analysis and portfolio management to client services and advisory. This involves utilizing a large collection of textual data including financial documents, analyst reports, news, meeting notes and client communications along with more typical structured datasets. We are looking for passionate data scientists to apply the latest methodologies to generate actionable insights to be directly consumed by our business partners.
The candidate must excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production. The candidate must also have a strong passion for Machine Learning and invest independent time towards learning, researching, and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
Why You Should Join Us
Are you excited about using data science and machine learning to make a real impact in the asset management industry? Do you enjoy working with cutting-edge technologies and collaborating with a team of dedicated professionals? If so, the Data Science team at JP Morgan Asset Management could be the perfect fit for you. Here’s why:
Real-World Impact : Your work will directly contribute to improving investment processes and enhancing client experiences, making a tangible difference in our asset management business.
Collaborative Environment : Join a team that values collaboration and teamwork. You’ll work closely with business stakeholders and technologists to develop and implement effective solutions.
Continuous Learning : We support your professional growth by providing opportunities to learn and experiment with the latest data science and machine learning techniques.
Job Responsibilities
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.
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.
Required qualifications, capabilities, and skills
Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
3+ years of experience in applying NLP, LLM, and ML techniques in solving high-impact business problems.
Advanced python programming skills with experience writing production quality code.
Good understanding of the foundational principles and practical implementations of ML algorithms.
Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
Familiarity with latest development in deep learning frameworks.
Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
Prior experience in an Asset Management line of business.
Exposure to distributed model training and deployment.
Familiarity with techniques for model explainability and self-validation.
ABOUT US
JPMorgan Chase & Co., 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. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions.
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.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment.
Job Description
The Asset Management Data Science team is focused on enhancing and facilitating various steps in the investment process ranging from financial analysis and portfolio management to client services and advisory. This involves utilizing a large collection of textual data including financial documents, analyst reports, news, meeting notes and client communications along with more typical structured datasets. We are looking for passionate data scientists to apply the latest methodologies to generate actionable insights to be directly consumed by our business partners.
The candidate must excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production. The candidate must also have a strong passion for Machine Learning and invest independent time towards learning, researching, and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.
Why You Should Join Us
Are you excited about using data science and machine learning to make a real impact in the asset management industry? Do you enjoy working with cutting-edge technologies and collaborating with a team of dedicated professionals? If so, the Data Science team at JP Morgan Asset Management could be the perfect fit for you. Here’s why:
Real-World Impact : Your work will directly contribute to improving investment processes and enhancing client experiences, making a tangible difference in our asset management business.
Collaborative Environment : Join a team that values collaboration and teamwork. You’ll work closely with business stakeholders and technologists to develop and implement effective solutions.
Continuous Learning : We support your professional growth by providing opportunities to learn and experiment with the latest data science and machine learning techniques.
Job Responsibilities
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.
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.
Required qualifications, capabilities, and skills
Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
3+ years of experience in applying NLP, LLM, and ML techniques in solving high-impact business problems.
Advanced python programming skills with experience writing production quality code.
Good understanding of the foundational principles and practical implementations of ML algorithms.
Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
Familiarity with latest development in deep learning frameworks.
Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
Prior experience in an Asset Management line of business.
Exposure to distributed model training and deployment.
Familiarity with techniques for model explainability and self-validation.
ABOUT US
JPMorgan Chase & Co., 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. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions.
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.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
#J-18808-Ljbffr