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Finance Data Scientist (LLM)

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Finance Data Scientist (LLM)

at Durlston Partners

ExperiencedNo visa sponsorshipdata-science-ai-ml

Posted 7 hours ago

0 clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Arab Emirates

The Finance Data Scientist (LLM) role involves enhancing and refining outputs from large language models specifically for financial applications. The position requires building data pipelines, quality control, and collaborating with algorithm teams to improve model accuracy and financial knowledge representation.

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)

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Finance Data Scientist (LLM)

at Durlston Partners

ExperiencedNo visa sponsorshipdata-science-ai-ml

Posted 7 hours ago

0 clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Arab Emirates

The Finance Data Scientist (LLM) role involves enhancing and refining outputs from large language models specifically for financial applications. The position requires building data pipelines, quality control, and collaborating with algorithm teams to improve model accuracy and financial knowledge representation.

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