Quantitative Researcher

Job summary

Develop and implement quantitative models to identify trading opportunities across various asset classes. Design, backtest, and optimize algorithmic trading systems while leveraging AI workflows to automate research and development.

Job details

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. \n \n

What you’ll do

Develop and implement quantitative models to identify trading opportunities across various asset classes. Design, backtest, and optimize algorithmic trading systems while leveraging AI workflows to automate research and development.

Requirements

Requires proven experience in financial research, investment banking, or asset management with strong proficiency in mathematics and programming. Candidates must demonstrate the ability to build end-to-end software applications and orchestrate agentic AI workflows.

Listed skills

• Data analysis · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Quantitative Research
• Algorithmic Trading
• Python
• R
• MATLAB
• Financial Modeling
• Risk Analysis
• Statistical Analysis
• Agentic AI
• LLMs
• Data Analysis
• Backtesting
• Software Development
• API Development
• Cloud Deployment
• Investment Strategy
• Business Metrics
• Continuous Development
• Advanced Mathematics
• Workflow Management
• Quantitative Modeling
• Programming Languages
• Research
• Application Programming Interface (API)
• Algorithms
• Asset Classes
• Asset Management
• Investments
• Version Control
• Mathematical Finance
• Finance
• Financial Services
• Financial Instrument
• Financial Market
• R (Programming Language)
• Scalability
• Innovation
• Investment Banking
• Python (Programming Language)
• Mathematical Modeling
• New Product Development
• Performance Metric
• Trading Strategy
• Detail Oriented

Job areas

• Finance & Accounting
• Data & Analytics
• Software
• Science & Research
• Technology
• Quantitative Researcher
• Financial Quantitative Analyst
• Financial Analysts
• Financial Quantitative Analysts
• Financial Specialists, All Other

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