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Finance Data Scientist (LLM)

ExperiencedNo visa sponsorship
Durlston Partners logo

at Durlston Partners

Recruitment Agencies

Posted 2 months ago

No clicks

Finance Data Scientist (LLM) role for a discreet UAE-based fund, combining AI and investment expertise to refine large language model outputs for financial applications. You will oversee quality control of LLM-generated financial content, design and implement data pipelines, and work with the algorithm team to improve model performance and representation of financial knowledge. The role requires strong finance domain knowledge, Python and machine learning experience, and the ability to develop quality metrics and participate in technical knowledge-sharing.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Arab Emirates

Full Job Description

Looking for Finance Data Scientist for a discreet fund in the UAE, sitting at the intersection of AI and Investment.

 

This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications, ensuring that the content is accurate, coherent, and logically consistent.

Key Responsibilities

  • Oversee and enhance the quality control processes for financial content generated by LLMs
  • Create and implement data pipelines for the processing and analysis of financial text data
  • Work closely with the algorithm team to improve model performance and accuracy
  • Provide domain expertise to enhance the representation of financial knowledge in LLM outputs
  • Develop and apply quality metrics to assess model outputs
  • Engage in development cycles and knowledge-sharing sessions with technical teams

Required Qualifications

  • Bachelor’s degree in Finance, Economics, Computer Science, or a related discipline. Masters is a plus.
  • 2+ years of professional experience in finance (funds, banks, fintech etc) or data science firms for finance.
  • Strong grasp of macroeconomics, financial markets, and investment principles
  • Experience with Python programming, particularly with pandas and data processing libraries
  • Experience with machine learning libraries and frameworks
  • Understanding of financial data sources and APIs
  • Capability to design and implement data pipelines and workflows effectively
  • Exceptional analytical and problem-solving abilities
  • Strong communication skills with the ability to convey complex financial concepts clearly

Preferred Qualifications

  • Familiarity with LLM fine-tuning and optimisation techniques
  • Knowledge of NLP methods

Finance Data Scientist (LLM)

Compensation

Not specified

City: Not specified

Country: United Arab Emirates

Durlston Partners logo
Recruitment Agencies

2 months ago

No clicks

at Durlston Partners

ExperiencedNo visa sponsorship

Finance Data Scientist (LLM) role for a discreet UAE-based fund, combining AI and investment expertise to refine large language model outputs for financial applications. You will oversee quality control of LLM-generated financial content, design and implement data pipelines, and work with the algorithm team to improve model performance and representation of financial knowledge. The role requires strong finance domain knowledge, Python and machine learning experience, and the ability to develop quality metrics and participate in technical knowledge-sharing.

Full Job Description

Looking for Finance Data Scientist for a discreet fund in the UAE, sitting at the intersection of AI and Investment.

 

This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications, ensuring that the content is accurate, coherent, and logically consistent.

Key Responsibilities

  • Oversee and enhance the quality control processes for financial content generated by LLMs
  • Create and implement data pipelines for the processing and analysis of financial text data
  • Work closely with the algorithm team to improve model performance and accuracy
  • Provide domain expertise to enhance the representation of financial knowledge in LLM outputs
  • Develop and apply quality metrics to assess model outputs
  • Engage in development cycles and knowledge-sharing sessions with technical teams

Required Qualifications

  • Bachelor’s degree in Finance, Economics, Computer Science, or a related discipline. Masters is a plus.
  • 2+ years of professional experience in finance (funds, banks, fintech etc) or data science firms for finance.
  • Strong grasp of macroeconomics, financial markets, and investment principles
  • Experience with Python programming, particularly with pandas and data processing libraries
  • Experience with machine learning libraries and frameworks
  • Understanding of financial data sources and APIs
  • Capability to design and implement data pipelines and workflows effectively
  • Exceptional analytical and problem-solving abilities
  • Strong communication skills with the ability to convey complex financial concepts clearly

Preferred Qualifications

  • Familiarity with LLM fine-tuning and optimisation techniques
  • Knowledge of NLP methods