Presto Labs (https://www.prestolabs.io) is a quantitative trading firm, established in Singapore back in
- We build automated trading systems fueled by data-driven quantitative analysis to achieve stable and sustainable investment returns. Our engineering teams do what humans do best create algorithmic decision processes in order to achieve what no human trader ever could in todays fast-changing, unbelievably complex financial world.
As Financial Data Researcher at Presto
We are looking for a skilled and curious Financial Data Researcher to join our growing team. In this role, you will be responsible for collecting, analyzing, and interpreting financial data to support investment decisions, risk management, and financial modeling. If you're interested in a career that combines finance and cutting-edge data analysis, then financial data research is a great path to explore.
Responsibilities
Analyze financial trends, identify patterns, and extract meaningful insights to support investment decisions, risk management, or financial modeling.
Research, develop, and implement new AI algorithms and machine learning models tailored to specific research goals.
Prepare and clean data for use in AI models, including handling missing values, normalization, and feature engineering.
Train and fine-tune AI models using large datasets, optimizing their performance and accuracy.
Evaluate the performance of AI models, analyze results, and interpret their significance for research purposes.
Qualifications
A bachelors degree in computer science, Artificial Intelligence, Data Science, or a related field is typically preferred.
Strong Programming Languages (Python is a must).
Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-Learn) and Deep Learning Techniques (if applicable to the research area).
Experience with LLM and large models.
Strong analytical and problem-solving skills with the ability to identify and interpret trends in financial data.
Excellent research skills with the ability to locate and evaluate financial information from credible sources.
Experience with Cloud Computing Platforms (AWS, Azure, GCP) (possibly project-specific).
Benefits
Competitive Salary
Discretionary bonus eligibility
Meal Allowance
