Research Associate (AI, Finance and Social Sciences)
Core
Develop AI research agents, build empirical research benchmarks, and conduct reproducible computational experiments at the intersection of AI, finance, and social sciences.
Role type
Research Associate (AI, Finance, Social Sciences)
Builds
AI research agents, empirical research benchmarks (e.g., InferenceNet), reproducible research tools and datasets
Domain
Finance, Social Sciences, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
Python, data processing, machine learning, statistical analysis, experimental evaluation, LLMs, AI agents, GPU computing
Preferred skills
econometric software, large language models
Technologies
Python, machine learning libraries, LLMs, GPU computing
Responsibilities
Develop and maintain AI research agents and workflows for data analysis and automated experimentation; Collect, clean, and document research datasets and benchmark tasks with quality checks; Implement and evaluate machine learning and language models for research applications; Reproduce empirical analyses and assess generated code and research findings; Run computational experiments and maintain reproducible code and environments; Analyse experimental results and prepare research reports and materials for publications
Seniority
Entry level
