Remote Senior Quantitative Analyst (Quant)

Placements24; Rustenburg; Hybrid; ZAR 900,000 - 2,000,000; Full time

Benefits offered by this job

Competitive pay and performance-based/

Health and wellness benefits

Home office setup allowance

Unlimited paid time off

Flexible working hours

Job summary

Placements24 is seeking a Senior Quantitative Analyst to join a remote-first fintech trading team. You will design and backtest quantitative trading strategies, build pricing and risk models, and optimize portfolios across asset classes in a distributed, globally distributed environment.

The role emphasizes autonomous research, rigorous testing, and collaboration with traders to implement sophisticated strategies that drive trading performance worldwide.

Qualifications

• Master's or PhD in Mathematics, Physics, Statistics, Computer Science, or related field.
• ≥5 years in quantitative finance, algorithmic trading, or statistical modeling.
• Proficiency in Python, C++, or R with scientific computing libraries.
• Strong understanding of financial markets, derivatives, and portfolio theory.
• Experience with machine learning techniques in finance is desirable.
• Proficiency in statistics, econometrics, and data mining.
• Excellent problem-solving, abstract thinking, and analytical skills.
• Strong communication to explain complex quantitative concepts to non-technical audiences.
• Proven ability to work independently in a remote setting.

Responsibilities

• Design, develop, backtest, and deploy quantitative trading strategies across various asset classes.
• Build and maintain sophisticated mathematical models for pricing, risk management, and portfolio optimization.
• Analyze large datasets to identify trading opportunities and market inefficiencies.
• Collaborate with portfolio managers and traders to implement and refine quantitative strategies.
• Conduct thorough research into new quantitative techniques and methodologies.
• Develop and optimize high-performance computing systems for trading applications.
• Monitor and manage trading system performance and risk exposures.
• Contribute to the firm's knowledge base by documenting research findings and implementation details.
• Work effectively in a distributed team environment, communicating insights and progress clearly.

Skills

Python

C++

R

Machine Learning

Statistics

Econometrics

Data Mining

Problem Solving

Communication

Education

Master's or PhD in a quantitative field

Tools

NumPy

SciPy

Job description

About the Role Our client, a cutting-edge quantitative trading firm, is seeking a highly accomplished Senior Quantitative Analyst (Quant) to join their fully remote team. This is an exceptional opportunity to leverage your advanced mathematical and programming skills to develop and implement sophisticated trading algorithms and risk management strategies. The successful candidate will be instrumental in driving innovation within our client's trading operations, working on complex problems that require deep analytical insight and rigorous testing. As a remote-first organization, we foster a collaborative virtual environment where cutting-edge research and development thrive. The role demands a proactive, self-disciplined individual who can thrive in an independent work setting while contributing effectively to team objectives. You will have the autonomy to explore new methodologies and contribute significantly to the firm's quantitative research and development efforts, impacting trading performance globally. This position offers the flexibility of working from anywhere while engaging with world-class talent in the fintech space.

Key Responsibilities

• Design, develop, backtest, and deploy quantitative trading strategies across various asset classes.
• Build and maintain sophisticated mathematical models for pricing, risk management, and portfolio optimization.
• Analyze large datasets to identify trading opportunities and market inefficiencies.
• Collaborate with portfolio managers and traders to implement and refine quantitative strategies.
• Conduct thorough research into new quantitative techniques and methodologies.
• Develop and optimize high-performance computing systems for trading applications.
• Monitor and manage trading system performance and risk exposures.
• Contribute to the firm's knowledge base by documenting research findings and implementation details.
• Work effectively in a distributed team environment, communicating insights and progress clearly.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or a related discipline.
• Minimum of 5 years of experience in quantitative finance, algorithmic trading, or statistical modeling.
• Proven expertise in programming languages such as Python, C++, or R, with experience in scientific computing libraries.
• Strong understanding of financial markets, derivatives, and portfolio theory.
• Experience with machine learning techniques applied to finance is highly desirable.
• Proficiency in statistical analysis, econometrics, and data mining.
• Excellent problem-solving skills and the ability to think abstractly and analytically.
• Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
• Proven ability to work independently and manage projects effectively in a remote setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Generous home office setup allowance.
• Unlimited paid time off and flexible working hours.
• Opportunities to work with leading minds in quantitative finance.
• Significant impact on trading strategies and firm profitability.
• Continuous learning and professional development support.