DescriptionJPMoran Asset Management Data Science is dedicated to enhancing and streamlining every stage of the investment process from financial analysis and portfolio management to client services and advisory. Weanalyseextensive collections of dataincluding financial documents analyst reports news articles meeting notes and client communicationsto empower data-driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generatereal-time andactionable insights.
As an Associate in the Data Scientist Team you must excel in working in a highly collaborative environment together with the business stakeholders technologists and control partners to deploy solutions into are passionate for machine learning is essential along with a commitment to continuous learning research and experimentation with new innovations in the field. You shouldpossessa solid understanding of modern NLP and/or financial knowledge hands-on implementation experience strong analytical thinking and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.
Job responsibilities
- Design and implement advanced techniques such as semantic search retrieval-augmented generation (RAG) named entity recognition (NER) prompt engineering and personalizationfor content extraction search question answering reasoning and recommendation.
- Develop LLM NLP and ML solutions that address client requirements and drive business transformation.
- Work closely with partner teamsincluding Business Technology Product Management Strategy and Business Managementto deploy and scale developed models in production environments.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Communicate results effectively to business stakeholders through written reports visualizations and presentations.
- Stay current with the latest research in LLM ML and data science and proactivelyidentifyandleverageemerging techniques to drive ongoing enhancement.
Required qualifications capabilities and skills
- 3 years of relevant work experience.
- Proven experience applying NLP LLM and ML techniques to solve high-impact business problems.
- Proficiencyin programming languages such as Python and familiarity with machine learning libraries and frameworks.
- Excellent communication skills and ability to work collaboratively in a fast-paced dynamic environment.
- Strong analytical skills with an understanding of financial markets and asset management.
Preferred qualifications capabilities and skills
- CFA designation or current pursuit of the CFA is highly desirable.
Required Experience:
IC
DescriptionJPMoran Asset Management Data Science is dedicated to enhancing and streamlining every stage of the investment process from financial analysis and portfolio management to client services and advisory. Weanalyseextensive collections of dataincluding financial documents analyst reports news...
DescriptionJPMoran Asset Management Data Science is dedicated to enhancing and streamlining every stage of the investment process from financial analysis and portfolio management to client services and advisory. Weanalyseextensive collections of dataincluding financial documents analyst reports news articles meeting notes and client communicationsto empower data-driven decision making and process automation. We are seeking passionate data scientists who can apply the latest methodologies to generatereal-time andactionable insights.
As an Associate in the Data Scientist Team you must excel in working in a highly collaborative environment together with the business stakeholders technologists and control partners to deploy solutions into are passionate for machine learning is essential along with a commitment to continuous learning research and experimentation with new innovations in the field. You shouldpossessa solid understanding of modern NLP and/or financial knowledge hands-on implementation experience strong analytical thinking and a keen interest in applying advanced analytics to solve complex problems in finance and asset management.
Job responsibilities
- Design and implement advanced techniques such as semantic search retrieval-augmented generation (RAG) named entity recognition (NER) prompt engineering and personalizationfor content extraction search question answering reasoning and recommendation.
- Develop LLM NLP and ML solutions that address client requirements and drive business transformation.
- Work closely with partner teamsincluding Business Technology Product Management Strategy and Business Managementto deploy and scale developed models in production environments.
- Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
- Communicate results effectively to business stakeholders through written reports visualizations and presentations.
- Stay current with the latest research in LLM ML and data science and proactivelyidentifyandleverageemerging techniques to drive ongoing enhancement.
Required qualifications capabilities and skills
- 3 years of relevant work experience.
- Proven experience applying NLP LLM and ML techniques to solve high-impact business problems.
- Proficiencyin programming languages such as Python and familiarity with machine learning libraries and frameworks.
- Excellent communication skills and ability to work collaboratively in a fast-paced dynamic environment.
- Strong analytical skills with an understanding of financial markets and asset management.
Preferred qualifications capabilities and skills
- CFA designation or current pursuit of the CFA is highly desirable.
Required Experience:
IC
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