Remote Senior Quantitative Analyst

Placements24; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Global health benefits

Budget for professional development

Fully remote work

Job summary

Placements24 is seeking a Remote Senior Quantitative Analyst to join a globally distributed finance and technology team. You will design, test, and deploy sophisticated quantitative models for trading, risk management, and portfolio optimization, working remotely with an international group.

The role requires a strong academic background (Master’s or PhD) in a quantitative field, 5+ years in quantitative analysis or related areas, and expertise in Python, R, and C++.

Qualifications

• Advanced degree in a quantitative field with strong research background.
• 5+ years in quantitative analysis or related roles in finance.
• Proficiency in Python, R, and C++ for modeling and backtesting.
• Experience with large datasets and distributed computing.

Responsibilities

• Design and deploy advanced quantitative models for markets.
• Backtest trading algorithms and risk systems.
• Analyze large datasets to identify signals and correlations.
• Collaborate with traders to translate research into applications.
• Maintain well-documented, efficient code.

Skills

Quantitative analysis

Algorithmic trading

Risk management

Statistical modeling

Time series analysis

Machine learning

Independent research

Education

Master's or PhD in a quantitative field

Tools

Python

R

C++

Job description

About the Role

Our client is looking for a highly skilled and experienced Remote Senior Quantitative Analyst to join their globally distributed finance and technology team. This position will focus on developing and implementing sophisticated quantitative models for trading strategies, risk management, and portfolio optimization. You will leverage advanced mathematical, statistical, and computational techniques to derive actionable insights from complex financial data. This role is fully remote, offering the flexibility to work from anywhere while collaborating with a high-performing international team. The ideal candidate is a self-starter with a deep understanding of financial markets and a passion for cutting-edge quantitative research.

Key Responsibilities

• Design, develop, test, and deploy advanced quantitative models for financial markets.
• Conduct rigorous statistical analysis and backtesting of trading algorithms and risk management systems.
• Analyze large datasets to identify patterns, correlations, and predictive signals.
• Collaborate with portfolio managers and traders to translate research findings into practical applications.
• Develop and maintain high-quality, efficient, and well-documented code in languages such as Python or R.
• Stay abreast of academic research and industry trends in quantitative finance.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative analysis, algorithmic trading, or risk management within the financial industry.
• Expertise in statistical modeling, time series analysis, and machine learning techniques.
• Strong programming skills in Python, R, C++, or similar languages.
• Experience with large-scale data analysis and distributed computing frameworks.
• Excellent problem-solving abilities and a capacity for independent research and innovation.

Benefits

• Highly competitive salary and performance-based bonuses reflecting expertise.
• Comprehensive global health benefits package.
• Significant budget for professional development, conferences, and further education.
• Fully remote work arrangement with flexibility in working hours.
• Opportunity to work on challenging problems with a leading fintech firm.