Financial Data Researcher
Presto Labs is a quantitative trading firm, established in Singapore in 2014. We specialize in building automated trading systems driven by data-driven quantitative analysis to achieve consistent investment returns. Our talented engineering teams are dedicated to creating algorithmic decision processes to navigate the complex and rapidly changing financial landscape.
Role Overview:
We are seeking a skilled Financial Data Researcher to join our expanding team. The ideal candidate will be responsible for gathering, analyzing, and interpreting financial data to support investment strategies, risk management, and financial modeling. This role offers a unique opportunity to blend finance with cutting-edge data analysis for those interested in this exciting career path.
Key Responsibilities:
- Conduct in-depth analysis of financial trends, uncover patterns, and derive actionable insights to enhance investment decisions, risk assessment, and financial modeling.
- Research and deploy advanced AI algorithms and machine learning models tailored to specific research objectives.
- Process and prepare data for AI models by addressing missing values, normalizing data, and performing feature engineering.
- Train, optimize, and refine AI models using extensive datasets to enhance performance and accuracy.
- Evaluate the efficacy of AI models, interpret results, and draw meaningful conclusions for research purposes.
Required Qualifications:
- A bachelor’s degree in fields such as computer science, Artificial Intelligence, or Data Science is typically preferred.
- Proficiency in Python Programming among other essential skills.
- Strong grasp of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-Learn) and Deep Learning Techniques if relevant to the research focus.
- Familiarity with LLM and large-scale models.
- Sound analytical abilities and problem-solving skills to identify and interpret financial data trends effectively.
- Proven research acumen with the capability to locate and evaluate financial information from reputable sources.
- Experience with Cloud Computing Platforms like AWS, Azure, or GCP may be project-specific but beneficial.
Benefits:
- Competitive Salary
- Eligibility for discretionary bonuses
- Meal Allowance
