Finance Data Scientist
Client of Durlston Partners
Employer Active
Posted on 7 Apr
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Experience
2 - 7 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
A UAE based financial services firm are looking for a skilled Data Scientist with a passion for finance and AI to join an innovative and expanding team. The selected candidate will be at the forefront of refining large language model (LLM) outputs for financial applications, ensuring that the generated content is accurate.
The base pay for the role ranges up to $180k p.a. and there is an on-site requirement (5 days per week) in their UAE office.
Key Responsibilities:
- Oversee and enhance quality control systems for financial content generated by LLMs
- Develop quality metrics to evaluate the effectiveness and consistency of model-generated content
- Design and implement data pipelines for processing and analysing financial data
- Work closely with cross-functional teams to improve model performance, ensuring higher precision and relevance in financial contexts
- Apply domain expertise to enhance the financial knowledge representation in AI outputs
- Collaborate in an agile, technical environment with data scientists, engineers, and finance experts
Desired Candidate Profile
Key Requirements:
- Bachelor s degree in Finance, Computer Science, Economics (Macro), or a related field
- 2+ years of experience in finance, data science, or a related field
- Strong grasp of macroeconomics, financial markets, and investment principles
- Proficiency in Python programming and experience with data manipulation libraries (such as pandas) is a must
- Ability to design and implement efficient data pipelines and processing workflows
- Strong problem-solving and analytical skills
- Ability to articulate complex financial concepts clearly and effectively to both technical and non-technical teams
Preferred Requirements:
- Experience within the financial services industry (e.g., brokerage firms, investment funds, or banking) in lieu of finance experience, a strong background in macroeconomics is required
- Research or consulting background with a focus on finance
- Knowledge of large language models (LLMs) and AI/ML optimization techniques (fine-tuning and architecture)
- Familiarity with natural language processing (NLP) and machine learning algorithms
- Master s degree in a relevant field is a plus
Company Industry
- Banking
- Financial Services
- Broking
Department / Functional Area
- Finance
- Treasury
Keywords
- Finance Data Scientist
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Client of Durlston Partners