PhD Quantitative Researcher -Remote
• Location: Remote in US, or Canada Toronto/Vancouver
• Graduate with Master's/PhD from world's top CS universities
• Ideally 1+ year experience working in Quantitative Firms such as Jane Street, Citadel or Chinese quant hedge funds prior;
• Chinese speaking is a bonus
• Python or C++
Overview
We are seeking a highly skilled PhD Quantitative Researcher to join our remote team. The ideal candidate will leverage advanced analytical techniques and financial expertise to support investment decisions, risk assessment, and strategic planning. This role offers the opportunity to work on complex financial models, conduct in-depth research, and contribute to data-driven insights that influence high-stakes financial operations. Candidates should possess a strong foundation in quantitative analysis, financial concepts, and statistical methods, with the ability to interpret and communicate complex data effectively.
Responsibilities
• Conduct comprehensive quantitative research related to mergers & acquisitions, investment opportunities, and market trends.
• Collect, clean, and analyze large datasets to identify patterns and inform strategic decisions.
• Develop and refine financial models for valuation, forecasting, cash flow analysis, and risk assessment.
• Perform detailed financial analysis including credit analysis, risk analysis, and financial report writing.
• Utilize statistical analysis and financial software tools to support research initiatives.
• Apply financial concepts such as forecasting, cash flow analysis, and investment banking principles to real-world scenarios.
• Support the creation of detailed reports and presentations summarizing research findings for stakeholders.
• Collaborate with cross-functional teams to integrate quantitative insights into broader business strategies.
Qualifications
• PhD in Finance, Economics, Mathematics, Statistics, or a related quantitative field from the top CS universities in US or China.
• Published papers in high-impact journals
• Proven experience with quantitative research methods within top quantitative hedge fund environments.
• Strong knowledge of financial concepts including mergers & acquisitions, credit analysis, risk analysis, and financial modeling.
• Proficiency in statistical analysis software and financial software tools (Python).
• Excellent skills in data collection, data cleaning, and data visualization techniques.
• Deep understanding of financial analysis techniques such as forecasting, cash flow analysis, and risk management.
• Ability to interpret complex data sets and communicate insights clearly through written reports and presentations.
• Strong mathematical skills with an emphasis on statistics and quantitative modeling. This position is fully remote and offers the chance to work on impactful projects within a dynamic team dedicated to excellence in financial research.
Job Type: Full-time
Pay: Up to $170,000.00 per year
Benefits:
• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance
Work Location: Remote
Apply Now
Apply Now
• Graduate with Master's/PhD from world's top CS universities
• Ideally 1+ year experience working in Quantitative Firms such as Jane Street, Citadel or Chinese quant hedge funds prior;
• Chinese speaking is a bonus
• Python or C++
Overview
We are seeking a highly skilled PhD Quantitative Researcher to join our remote team. The ideal candidate will leverage advanced analytical techniques and financial expertise to support investment decisions, risk assessment, and strategic planning. This role offers the opportunity to work on complex financial models, conduct in-depth research, and contribute to data-driven insights that influence high-stakes financial operations. Candidates should possess a strong foundation in quantitative analysis, financial concepts, and statistical methods, with the ability to interpret and communicate complex data effectively.
Responsibilities
• Conduct comprehensive quantitative research related to mergers & acquisitions, investment opportunities, and market trends.
• Collect, clean, and analyze large datasets to identify patterns and inform strategic decisions.
• Develop and refine financial models for valuation, forecasting, cash flow analysis, and risk assessment.
• Perform detailed financial analysis including credit analysis, risk analysis, and financial report writing.
• Utilize statistical analysis and financial software tools to support research initiatives.
• Apply financial concepts such as forecasting, cash flow analysis, and investment banking principles to real-world scenarios.
• Support the creation of detailed reports and presentations summarizing research findings for stakeholders.
• Collaborate with cross-functional teams to integrate quantitative insights into broader business strategies.
Qualifications
• PhD in Finance, Economics, Mathematics, Statistics, or a related quantitative field from the top CS universities in US or China.
• Published papers in high-impact journals
• Proven experience with quantitative research methods within top quantitative hedge fund environments.
• Strong knowledge of financial concepts including mergers & acquisitions, credit analysis, risk analysis, and financial modeling.
• Proficiency in statistical analysis software and financial software tools (Python).
• Excellent skills in data collection, data cleaning, and data visualization techniques.
• Deep understanding of financial analysis techniques such as forecasting, cash flow analysis, and risk management.
• Ability to interpret complex data sets and communicate insights clearly through written reports and presentations.
• Strong mathematical skills with an emphasis on statistics and quantitative modeling. This position is fully remote and offers the chance to work on impactful projects within a dynamic team dedicated to excellence in financial research.
Job Type: Full-time
Pay: Up to $170,000.00 per year
Benefits:
• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance
Work Location: Remote
Apply Now
Apply Now