Quantitative Researcher

Job Overview

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic team. This role involves developing and implementing quantitative models to identify trading opportunities in financial markets. The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector. This position offers an exciting opportunity to contribute to innovative trading strategies and advance your career in quantitative finance.

Responsibilities

Conduct rigorous research to develop quantitative models for trading strategies across various asset classes

Analyze large datasets to identify patterns, trends, and potential investment opportunities

Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively

Collaborate with team members to refine trading algorithms based on market conditions and new research findings

Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments

Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies

Document research processes, model assumptions, and performance metrics for ongoing review and improvement

Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes

Rapidly prototype, build, and iterate on quantitative research tools, trading applications, and AI-driven systems, taking ideas from initial concepts to functional implementations

Leverage AI coding agents, LLMs, and modern development frameworks to accelerate experimentation, engineering, testing, and deployment

Experience

Proven experience in research within the financial services industry, particularly in investment banking or asset management

Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling

Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB

Familiarity with financial markets, instruments, and trading platforms is highly desirable

Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges

Prior experience in developing or implementing algorithmic trading systems is a plus

Hands-on experience designing and orchestrating agentic workflows using LLMs, AI coding agents, tool integrations, and automated execution pipelines

Demonstrated ability to rapidly prototype and build end-to-end software applications, research infrastructure, and data-driven products

Experience with modern software development practices, including APIs, version control, testing, cloud deployment, and iterative product development

Ability to independently translate abstract research ideas into working prototypes, production-ready tools, and scalable systems

This role is ideal for individuals passionate about applying quantitative methods to finance, eager to contribute to cutting-edge trading strategies, and committed to continuous learning within a fast-paced environment.