Quantitative Researcher (Deep Research) (Fintech)

TL;DR

Quantitative Researcher (Deep Research) (Fintech): Developing high-quality predictive signals (alphas) through quantitative analysis and data exploration with an accent on mathematical expressions of data. Focus on identifying market inefficiencies, integrating AI and LLM research into financial applications, and building robust quantitative models.

Company

hirify.global develops and deploys systematic financial strategies across various asset classes and global markets using a proprietary research platform.

What you will do

• Build predictive signals using a structured research process involving quantitative analysis and data exploration.
• Develop domain expertise in fundamental financial topics to identify key information drivers for research.
• Integrate the latest AI and LLM research advancements into quantitative finance applications.
• Identify high-quality predictive signals (alphas) that are undiscovered by the wider market.
• Collaborate with teams to drive the production of financial strategies for a global investment platform.

Requirements

• Bachelor's, Master's, or PhD in a highly quantitative field (Math, Physics, Computer Science, or Financial Engineering).
• At least 2 years of relevant financial research experience.
• Strong foundation in mathematics, statistics, and quantitative modeling.
• Proficiency in Python and C++.
• Excellent written and oral English communication skills.

Nice to have

• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs.

Culture & Benefits

• Culture pairing academic sensibility with accountability for results.
• Environment encouraging open thinking, intellectualism, and practicality.
• Emphasis on continuous improvement and challenging conventional thinking.
• High value placed on intellectual horsepower and outstanding talent.